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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ benchmark/charts/intent_accuracy_delta.png filter=lfs diff=lfs merge=lfs -text
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+ benchmark/charts/per_intent_accuracy.png filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - onnx
5
+ - smartwatch
6
+ - intent-classification
7
+ - text-generation
8
+ - wearable
9
+ library_name: onnxruntime
10
+ pipeline_tag: text-generation
11
+ ---
12
+
13
+ # Smartwatch LM v0.2
14
+
15
+ Exported from [collab-run-2](../collab-run-2) training. Small GPT for wrist-wearable chat with intent tags like `<INTENT:GET_STEPS>`.
16
+
17
+ ## Model details
18
+
19
+ | Property | Value |
20
+ |----------|-------|
21
+ | Architecture | 6-layer causal GPT (**~15.4M params**) |
22
+ | Context length | 256 tokens |
23
+ | Vocab size | 5533 (BPE) |
24
+ | Best val loss | 0.3243 |
25
+ | Training data | tinydata.txt, deepdata.txt, tinydata1.txt, data1.txt, data3.txt |
26
+ | Export version | 0.2 |
27
+
28
+ ## Files
29
+
30
+ | File | Purpose |
31
+ |------|---------|
32
+ | `smartwatch_lm_merged.onnx` | On-device inference (ONNX Runtime, opset 17, ~0 MB) |
33
+ | `checkpoint.pt` | PyTorch weights |
34
+ | `tokenizer.json` | BPE tokenizer |
35
+ | `config.json` | Architecture + ONNX I/O |
36
+ | `model.py` / `chat.py` | PyTorch load + REPL |
37
+ | `reply_utils.py` | BPE cleanup, intent parse, slot fill |
38
+ | `onnx_sample.py` | ONNX generate sample |
39
+
40
+ ## Quick start
41
+
42
+ ```bash
43
+ pip install numpy onnxruntime tokenizers
44
+ python onnx_sample.py "How many steps today?"
45
+ ```
46
+
47
+ ```bash
48
+ pip install torch tokenizers
49
+ python chat.py
50
+ ```
51
+
52
+ ## ONNX I/O
53
+
54
+ - **Input:** `input_ids` int64 `[batch, seq]` (max seq = 256)
55
+ - **Output:** `logits` float `[batch, seq, vocab_size]`
56
+
57
+ See [Export-0.1 docs](docs/) for gibberish cleanup, intents, and device integration.
benchmark/README.md ADDED
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1
+ # Smartwatch LM Quality Benchmark
2
+
3
+ Side-by-side quality comparison for exported models (default: **Export-0.1** vs **export-0.2**).
4
+
5
+ ## Setup
6
+
7
+ ```bash
8
+ pip install -r benchmark/requirements.txt
9
+ ```
10
+
11
+ Both export folders must contain `checkpoint.pt` and `tokenizer.json`.
12
+
13
+ ## Run
14
+
15
+ ```bash
16
+ python benchmark/benchmark_quality.py
17
+ ```
18
+
19
+ Common options:
20
+
21
+ ```bash
22
+ python benchmark/benchmark_quality.py --verbose
23
+ python benchmark/benchmark_quality.py --output benchmark/report.json
24
+ python benchmark/benchmark_quality.py --model-a Export-0.1 --model-b export-0.2 --seed 42
25
+ ```
26
+
27
+ Generation defaults match production guidance: `max_new_tokens=40`, `temperature=0.5`, `top_k=40`, fresh history per prompt, fixed seed for reproducibility.
28
+
29
+ ## Metrics
30
+
31
+ | Metric | Meaning |
32
+ |--------|---------|
33
+ | **Intent accuracy** | Predicted intent matches expected (or is in `expected_intents` for combo cases) |
34
+ | **Intent parse rate** | Reply contains a valid `<INTENT:...>` tag |
35
+ | **Clean output rate** | Raw decode has no BPE junk (`Ġ`, `Ċ`) before cleanup |
36
+ | **Slot presence** | Fraction of expected slot placeholders found in the cleaned template |
37
+
38
+ Checkpoint `best_val_loss` is printed for reference only. v0.1 and v0.2 used different tokenizers and training corpora, so val loss is **not** a fair head-to-head score.
39
+
40
+ ## Golden prompts
41
+
42
+ [`benchmark_prompts.json`](benchmark_prompts.json) holds ~39 prompts (one per intent found in `tinydata.txt`, plus Colab demo prompts).
43
+
44
+ Regenerate after training data changes:
45
+
46
+ ```bash
47
+ python benchmark/extract_prompts.py
48
+ python benchmark/extract_prompts.py --data tinydata/tinydata.txt --output benchmark/benchmark_prompts.json
49
+ ```
50
+
51
+ Each entry:
52
+
53
+ ```json
54
+ {
55
+ "id": "get_steps_...",
56
+ "prompt": "How many steps today?",
57
+ "expected_intent": "GET_STEPS",
58
+ "expected_intents": ["GET_STEPS"],
59
+ "expected_slots": ["STEPS_TODAY", "STEP_GOAL"],
60
+ "source": "tinydata.txt"
61
+ }
62
+ ```
63
+
64
+ ## Output
65
+
66
+ The runner prints:
67
+
68
+ - Overall metric table for both models
69
+ - Per-intent accuracy breakdown
70
+ - Counts of prompts only v0.1 got right, only v0.2 got right, and both missed
71
+
72
+ With `--verbose`, it also prints per-prompt predicted intents and replies.
73
+
74
+ With `--output`, it writes a JSON report suitable for CI or regression tracking.
75
+
76
+ ## Charts
77
+
78
+ By default the runner saves four PNG charts to `benchmark/charts/`:
79
+
80
+ | Chart | Description |
81
+ |-------|-------------|
82
+ | `overall_metrics.png` | Grouped bar chart of all four quality metrics |
83
+ | `per_intent_accuracy.png` | Side-by-side accuracy for each intent |
84
+ | `head_to_head_wins.png` | Prompts both got right, only v0.1, only v0.2, both wrong |
85
+ | `intent_accuracy_delta.png` | Per-intent delta (export-0.2 minus Export-0.1) |
86
+
87
+ ```bash
88
+ python benchmark/benchmark_quality.py --output benchmark/report.json
89
+ python benchmark/benchmark_quality.py --no-charts
90
+ python benchmark/benchmark_quality.py --charts-dir path/to/charts
91
+ ```
92
+
93
+ Regenerate charts from an existing JSON report without re-running models:
94
+
95
+ ```bash
96
+ python benchmark/benchmark_charts.py --report benchmark/report.json
97
+ python benchmark/benchmark_charts.py --report benchmark/report.json --output-dir benchmark/charts
98
+ ```
99
+
100
+ Requires `matplotlib` (included in `requirements.txt`).
benchmark/benchmark_prompts.json ADDED
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+ [
2
+ {
3
+ "id": "none_hi_00",
4
+ "prompt": "hi",
5
+ "expected_intent": "NONE",
6
+ "expected_intents": [
7
+ "NONE"
8
+ ],
9
+ "expected_slots": [],
10
+ "source": "tinydata.txt"
11
+ },
12
+ {
13
+ "id": "get_steps_hey_am_i_doing_okay_with_steps_today_or_01",
14
+ "prompt": "Hey — am I doing okay with steps today or should I try to move more?",
15
+ "expected_intent": "GET_STEPS",
16
+ "expected_intents": [
17
+ "GET_STEPS"
18
+ ],
19
+ "expected_slots": [
20
+ "STEPS_TODAY",
21
+ "STEP_GOAL"
22
+ ],
23
+ "source": "tinydata.txt"
24
+ },
25
+ {
26
+ "id": "set_step_goal_i_want_to_change_my_default_daily_step_t_02",
27
+ "prompt": "I want to change my default daily step target to 10,000 steps — can you update it?",
28
+ "expected_intent": "SET_STEP_GOAL",
29
+ "expected_intents": [
30
+ "SET_STEP_GOAL"
31
+ ],
32
+ "expected_slots": [
33
+ "STEP_GOAL"
34
+ ],
35
+ "source": "tinydata.txt"
36
+ },
37
+ {
38
+ "id": "get_workout_status_how_long_have_i_been_on_my_run_and_what_03",
39
+ "prompt": "How long have I been on my run, and what's my heart rate right now?",
40
+ "expected_intent": "GET_WORKOUT_STATUS",
41
+ "expected_intents": [
42
+ "GET_WORKOUT_STATUS"
43
+ ],
44
+ "expected_slots": [
45
+ "WORKOUT_ELAPSED",
46
+ "WORKOUT_TYPE"
47
+ ],
48
+ "source": "tinydata.txt"
49
+ },
50
+ {
51
+ "id": "get_distance_quick_check_what_s_my_total_distance_tod_04",
52
+ "prompt": "Quick check — what's my total distance today?",
53
+ "expected_intent": "GET_DISTANCE",
54
+ "expected_intents": [
55
+ "GET_DISTANCE"
56
+ ],
57
+ "expected_slots": [
58
+ "DISTANCE_TODAY",
59
+ "DISTANCE_UNIT"
60
+ ],
61
+ "source": "tinydata.txt"
62
+ },
63
+ {
64
+ "id": "get_battery_quick_question_is_my_battery_high_enough_05",
65
+ "prompt": "Quick question — is my battery high enough to track a walk? Also, how many steps have I done today?",
66
+ "expected_intent": "GET_BATTERY",
67
+ "expected_intents": [
68
+ "GET_BATTERY"
69
+ ],
70
+ "expected_slots": [
71
+ "BATTERY_PCT"
72
+ ],
73
+ "source": "tinydata.txt"
74
+ },
75
+ {
76
+ "id": "get_heart_rate_can_you_check_my_heart_rate_now_i_m_a_bi_06",
77
+ "prompt": "Can you check my heart rate now? I'm a bit worried.",
78
+ "expected_intent": "GET_HEART_RATE",
79
+ "expected_intents": [
80
+ "GET_HEART_RATE"
81
+ ],
82
+ "expected_slots": [
83
+ "HR_CURRENT_BPM"
84
+ ],
85
+ "source": "tinydata.txt"
86
+ },
87
+ {
88
+ "id": "measure_heart_rate_please_take_my_pulse_now_i_feel_a_little_07",
89
+ "prompt": "Please take my pulse now — I feel a little fluttery.",
90
+ "expected_intent": "MEASURE_HEART_RATE",
91
+ "expected_intents": [
92
+ "MEASURE_HEART_RATE"
93
+ ],
94
+ "expected_slots": [
95
+ "HR_CURRENT_BPM"
96
+ ],
97
+ "source": "tinydata.txt"
98
+ },
99
+ {
100
+ "id": "get_sleep_hey_how_long_did_i_sleep_last_night_08",
101
+ "prompt": "Hey, how long did I sleep last night?",
102
+ "expected_intent": "GET_SLEEP",
103
+ "expected_intents": [
104
+ "GET_SLEEP"
105
+ ],
106
+ "expected_slots": [
107
+ "SLEEP_HOURS_LAST_NIGHT"
108
+ ],
109
+ "source": "tinydata.txt"
110
+ },
111
+ {
112
+ "id": "log_nap_just_woke_up_from_a_quick_power_nap_can_09",
113
+ "prompt": "Just woke up from a quick power nap — can you log it?",
114
+ "expected_intent": "LOG_NAP",
115
+ "expected_intents": [
116
+ "LOG_NAP"
117
+ ],
118
+ "expected_slots": [
119
+ "DURATION",
120
+ "SLEEP_HOURS_LAST_NIGHT"
121
+ ],
122
+ "source": "tinydata.txt"
123
+ },
124
+ {
125
+ "id": "get_calories_hey_how_many_calories_have_i_burned_sinc_10",
126
+ "prompt": "Hey, how many calories have I burned since midnight?",
127
+ "expected_intent": "GET_CALORIES",
128
+ "expected_intents": [
129
+ "GET_CALORIES"
130
+ ],
131
+ "expected_slots": [
132
+ "CALORIES_TODAY",
133
+ "CALORIE_GOAL"
134
+ ],
135
+ "source": "tinydata.txt"
136
+ },
137
+ {
138
+ "id": "set_calorie_goal_lower_my_daily_active_calorie_burn_targe_11",
139
+ "prompt": "Lower my daily active calorie burn target to 400, please.",
140
+ "expected_intent": "SET_CALORIE_GOAL",
141
+ "expected_intents": [
142
+ "SET_CALORIE_GOAL"
143
+ ],
144
+ "expected_slots": [
145
+ "CALORIE_GOAL"
146
+ ],
147
+ "source": "tinydata.txt"
148
+ },
149
+ {
150
+ "id": "get_active_minutes_how_many_active_minutes_have_i_done_toda_12",
151
+ "prompt": "How many active minutes have I done today?",
152
+ "expected_intent": "GET_ACTIVE_MINUTES",
153
+ "expected_intents": [
154
+ "GET_ACTIVE_MINUTES"
155
+ ],
156
+ "expected_slots": [
157
+ "ACTIVE_MINUTES_TODAY",
158
+ "ACTIVE_MINUTES_GOAL"
159
+ ],
160
+ "source": "tinydata.txt"
161
+ },
162
+ {
163
+ "id": "set_active_goal_can_you_raise_my_daily_active_minutes_go_13",
164
+ "prompt": "Can you raise my daily active minutes goal to 45 minutes?",
165
+ "expected_intent": "SET_ACTIVE_GOAL",
166
+ "expected_intents": [
167
+ "SET_ACTIVE_GOAL"
168
+ ],
169
+ "expected_slots": [
170
+ "ACTIVE_MINUTES_GOAL"
171
+ ],
172
+ "source": "tinydata.txt"
173
+ },
174
+ {
175
+ "id": "enable_power_save_battery_s_low_turn_on_power_saving_now_14",
176
+ "prompt": "Battery's low — turn on power saving now.",
177
+ "expected_intent": "ENABLE_POWER_SAVE",
178
+ "expected_intents": [
179
+ "ENABLE_POWER_SAVE"
180
+ ],
181
+ "expected_slots": [
182
+ "BATTERY_PCT"
183
+ ],
184
+ "source": "tinydata.txt"
185
+ },
186
+ {
187
+ "id": "disable_aod_please_turn_off_the_always_on_display_to_15",
188
+ "prompt": "Please turn off the always-on display to save battery.",
189
+ "expected_intent": "DISABLE_AOD",
190
+ "expected_intents": [
191
+ "DISABLE_AOD"
192
+ ],
193
+ "expected_slots": [
194
+ "BATTERY_PCT"
195
+ ],
196
+ "source": "tinydata.txt"
197
+ },
198
+ {
199
+ "id": "set_alarm_i_need_an_alarm_for_tomorrow_morning_to_16",
200
+ "prompt": "I need an alarm for tomorrow morning to make sure I wake up for my run.",
201
+ "expected_intent": "SET_ALARM",
202
+ "expected_intents": [
203
+ "SET_ALARM"
204
+ ],
205
+ "expected_slots": [
206
+ "ALARM_TIME",
207
+ "DATE",
208
+ "ALARM_LABEL"
209
+ ],
210
+ "source": "tinydata.txt"
211
+ },
212
+ {
213
+ "id": "list_alarms_quick_check_what_alarms_are_set_on_my_wa_17",
214
+ "prompt": "Quick check — what alarms are set on my watch?",
215
+ "expected_intent": "LIST_ALARMS",
216
+ "expected_intents": [
217
+ "LIST_ALARMS"
218
+ ],
219
+ "expected_slots": [
220
+ "ALARM_TIME",
221
+ "ALARM_LABEL",
222
+ "ALARM_TIME",
223
+ "ALARM_LABEL",
224
+ "ALARM_TIME",
225
+ "ALARM_LABEL"
226
+ ],
227
+ "source": "tinydata.txt"
228
+ },
229
+ {
230
+ "id": "delete_alarm_please_delete_my_standard_morning_wake_u_18",
231
+ "prompt": "Please delete my standard morning wake-up alarm.",
232
+ "expected_intent": "DELETE_ALARM",
233
+ "expected_intents": [
234
+ "DELETE_ALARM"
235
+ ],
236
+ "expected_slots": [
237
+ "ALARM_LABEL"
238
+ ],
239
+ "source": "tinydata.txt"
240
+ },
241
+ {
242
+ "id": "explain_nudge_hey_why_did_my_watch_just_vibrate_19",
243
+ "prompt": "hey, why did my watch just vibrate?",
244
+ "expected_intent": "EXPLAIN_NUDGE",
245
+ "expected_intents": [
246
+ "EXPLAIN_NUDGE"
247
+ ],
248
+ "expected_slots": [
249
+ "NUDGE_REASON",
250
+ "DURATION"
251
+ ],
252
+ "source": "tinydata.txt"
253
+ },
254
+ {
255
+ "id": "mute_reminders_i_m_getting_hourly_move_reminders_mute_t_20",
256
+ "prompt": "I'm getting hourly move reminders — mute them entirely, please.",
257
+ "expected_intent": "MUTE_REMINDERS",
258
+ "expected_intents": [
259
+ "MUTE_REMINDERS"
260
+ ],
261
+ "expected_slots": [],
262
+ "source": "tinydata.txt"
263
+ },
264
+ {
265
+ "id": "snooze_alarm_ugh_it_s_buzzing_snooze_this_alarm_for_a_21",
266
+ "prompt": "Ugh, it's buzzing — snooze this alarm for a few minutes.",
267
+ "expected_intent": "SNOOZE_ALARM",
268
+ "expected_intents": [
269
+ "SNOOZE_ALARM"
270
+ ],
271
+ "expected_slots": [
272
+ "ALARM_LABEL",
273
+ "ALARM_TIME",
274
+ "DURATION"
275
+ ],
276
+ "source": "tinydata.txt"
277
+ },
278
+ {
279
+ "id": "set_reminder_i_keep_forgetting_to_drink_water_can_you_22",
280
+ "prompt": "I keep forgetting to drink water — can you set a repeating reminder every two hours to drink water, please?",
281
+ "expected_intent": "SET_REMINDER",
282
+ "expected_intents": [
283
+ "SET_REMINDER"
284
+ ],
285
+ "expected_slots": [
286
+ "ALARM_LABEL",
287
+ "REMINDER_INTERVAL"
288
+ ],
289
+ "source": "tinydata.txt"
290
+ },
291
+ {
292
+ "id": "start_timer_start_a_twenty_minute_timer_23",
293
+ "prompt": "Start a twenty-minute timer.",
294
+ "expected_intent": "START_TIMER",
295
+ "expected_intents": [
296
+ "START_TIMER"
297
+ ],
298
+ "expected_slots": [
299
+ "DURATION"
300
+ ],
301
+ "source": "tinydata.txt"
302
+ },
303
+ {
304
+ "id": "get_timer_remaining_how_much_time_is_left_on_the_cooking_tim_24",
305
+ "prompt": "How much time is left on the cooking timer? I'm juggling a few things here.",
306
+ "expected_intent": "GET_TIMER_REMAINING",
307
+ "expected_intents": [
308
+ "GET_TIMER_REMAINING"
309
+ ],
310
+ "expected_slots": [
311
+ "TIMER_REMAINING",
312
+ "DURATION"
313
+ ],
314
+ "source": "tinydata.txt"
315
+ },
316
+ {
317
+ "id": "pause_timer_pause_the_countdown_now_freeze_it_25",
318
+ "prompt": "Pause the countdown now — freeze it.",
319
+ "expected_intent": "PAUSE_TIMER",
320
+ "expected_intents": [
321
+ "PAUSE_TIMER"
322
+ ],
323
+ "expected_slots": [
324
+ "DURATION",
325
+ "TIMER_REMAINING"
326
+ ],
327
+ "source": "tinydata.txt"
328
+ },
329
+ {
330
+ "id": "start_stopwatch_start_the_stopwatch_app_and_begin_timing_26",
331
+ "prompt": "Start the stopwatch app and begin timing.",
332
+ "expected_intent": "START_STOPWATCH",
333
+ "expected_intents": [
334
+ "START_STOPWATCH"
335
+ ],
336
+ "expected_slots": [],
337
+ "source": "tinydata.txt"
338
+ },
339
+ {
340
+ "id": "lap_stopwatch_mark_a_lap_split_27",
341
+ "prompt": "Mark a lap split.",
342
+ "expected_intent": "LAP_STOPWATCH",
343
+ "expected_intents": [
344
+ "LAP_STOPWATCH"
345
+ ],
346
+ "expected_slots": [
347
+ "LAP_TIME",
348
+ "DURATION"
349
+ ],
350
+ "source": "tinydata.txt"
351
+ },
352
+ {
353
+ "id": "reset_stopwatch_hey_reset_my_stopwatch_and_clear_its_lap_28",
354
+ "prompt": "Hey, reset my stopwatch and clear its laps please.",
355
+ "expected_intent": "RESET_STOPWATCH",
356
+ "expected_intents": [
357
+ "RESET_STOPWATCH"
358
+ ],
359
+ "expected_slots": [
360
+ "DURATION",
361
+ "LAP_TIME"
362
+ ],
363
+ "source": "tinydata.txt"
364
+ },
365
+ {
366
+ "id": "cancel_timer_stop_and_clear_my_running_timer_please_29",
367
+ "prompt": "Stop and clear my running timer, please.",
368
+ "expected_intent": "CANCEL_TIMER",
369
+ "expected_intents": [
370
+ "CANCEL_TIMER"
371
+ ],
372
+ "expected_slots": [
373
+ "TIMER_REMAINING",
374
+ "DURATION"
375
+ ],
376
+ "source": "tinydata.txt"
377
+ },
378
+ {
379
+ "id": "start_workout_i_m_heading_out_for_an_outdoor_walk_star_30",
380
+ "prompt": "I'm heading out for an outdoor walk — start tracking, please.",
381
+ "expected_intent": "START_WORKOUT",
382
+ "expected_intents": [
383
+ "START_WORKOUT"
384
+ ],
385
+ "expected_slots": [
386
+ "WORKOUT_TYPE"
387
+ ],
388
+ "source": "tinydata.txt"
389
+ },
390
+ {
391
+ "id": "stop_workout_i_m_done_with_my_run_stop_tracking_and_s_31",
392
+ "prompt": "I'm done with my run — stop tracking and save the session.",
393
+ "expected_intent": "STOP_WORKOUT",
394
+ "expected_intents": [
395
+ "STOP_WORKOUT"
396
+ ],
397
+ "expected_slots": [
398
+ "WORKOUT_TYPE",
399
+ "WORKOUT_ELAPSED"
400
+ ],
401
+ "source": "tinydata.txt"
402
+ },
403
+ {
404
+ "id": "pause_workout_traffic_light_pause_my_workout_while_i_w_32",
405
+ "prompt": "Traffic light—pause my workout while I wait?",
406
+ "expected_intent": "PAUSE_WORKOUT",
407
+ "expected_intents": [
408
+ "PAUSE_WORKOUT"
409
+ ],
410
+ "expected_slots": [
411
+ "WORKOUT_ELAPSED",
412
+ "WORKOUT_STATE"
413
+ ],
414
+ "source": "tinydata.txt"
415
+ },
416
+ {
417
+ "id": "resume_workout_hey_resume_my_cycling_workout_from_earli_33",
418
+ "prompt": "hey, resume my cycling workout from earlier",
419
+ "expected_intent": "RESUME_WORKOUT",
420
+ "expected_intents": [
421
+ "RESUME_WORKOUT"
422
+ ],
423
+ "expected_slots": [
424
+ "WORKOUT_TYPE",
425
+ "WORKOUT_ELAPSED",
426
+ "WORKOUT_STATE"
427
+ ],
428
+ "source": "tinydata.txt"
429
+ },
430
+ {
431
+ "id": "discard_workout_delete_the_current_run_and_erase_its_dat_34",
432
+ "prompt": "Delete the current run and erase its data.",
433
+ "expected_intent": "DISCARD_WORKOUT",
434
+ "expected_intents": [
435
+ "DISCARD_WORKOUT"
436
+ ],
437
+ "expected_slots": [
438
+ "WORKOUT_TYPE",
439
+ "WORKOUT_STATE"
440
+ ],
441
+ "source": "tinydata.txt"
442
+ },
443
+ {
444
+ "id": "get_workout_summary_just_finished_a_walk_show_the_final_summ_35",
445
+ "prompt": "Just finished a walk — show the final summary screen.",
446
+ "expected_intent": "GET_WORKOUT_SUMMARY",
447
+ "expected_intents": [
448
+ "GET_WORKOUT_SUMMARY"
449
+ ],
450
+ "expected_slots": [
451
+ "WORKOUT_TYPE",
452
+ "WORKOUT_ELAPSED",
453
+ "DISTANCE_TODAY"
454
+ ],
455
+ "source": "tinydata.txt"
456
+ },
457
+ {
458
+ "id": "get_steps_how_many_steps_have_i_taken_today_36",
459
+ "prompt": "How many steps have I taken today?",
460
+ "expected_intent": "GET_STEPS",
461
+ "expected_intents": [
462
+ "GET_STEPS"
463
+ ],
464
+ "expected_slots": [],
465
+ "source": "DEMO_PROMPTS"
466
+ },
467
+ {
468
+ "id": "start_timer_start_a_10_minute_timer_37",
469
+ "prompt": "Start a 10 minute timer",
470
+ "expected_intent": "START_TIMER",
471
+ "expected_intents": [
472
+ "START_TIMER"
473
+ ],
474
+ "expected_slots": [],
475
+ "source": "DEMO_PROMPTS"
476
+ },
477
+ {
478
+ "id": "none_hey_38",
479
+ "prompt": "hey",
480
+ "expected_intent": "NONE",
481
+ "expected_intents": [
482
+ "NONE"
483
+ ],
484
+ "expected_slots": [],
485
+ "source": "DEMO_PROMPTS"
486
+ }
487
+ ]
benchmark/charts/head_to_head_wins.png ADDED
benchmark/charts/intent_accuracy_delta.png ADDED

Git LFS Details

  • SHA256: 4eeb7066280361c38b7bb4026de46378b20461a2c0d229a09cb73e46dea3ee14
  • Pointer size: 131 Bytes
  • Size of remote file: 132 kB
benchmark/charts/overall_metrics.png ADDED
benchmark/charts/per_intent_accuracy.png ADDED

Git LFS Details

  • SHA256: 755bc683537b3a79e023e38f7a60baf312d924cd4819b3cb7222ec1132447b9f
  • Pointer size: 131 Bytes
  • Size of remote file: 131 kB
benchmark/report.json ADDED
@@ -0,0 +1,1347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models": [
3
+ {
4
+ "name": "Export-0.1",
5
+ "export_dir": "D:\\Projects\\electron-v1\\Export-0.1",
6
+ "device": "cpu",
7
+ "best_val_loss": 2.0472678637504576,
8
+ "intent_accuracy": 0.717948717948718,
9
+ "intent_parse_rate": 1.0,
10
+ "clean_output_rate": 1.0,
11
+ "slot_presence": 0.717948717948718,
12
+ "results": [
13
+ {
14
+ "case_id": "none_hi_00",
15
+ "prompt": "hi",
16
+ "expected_intent": "NONE",
17
+ "predicted_intent": "NONE",
18
+ "intent_correct": true,
19
+ "has_intent_tag": true,
20
+ "clean_output": true,
21
+ "slot_presence": 1.0,
22
+ "raw_reply": "<INTENT:NONE> That makes sense — if you want , I can help you keep an eye on it . \n \n user : hey , do I have enough charge to make it through overnight",
23
+ "display_reply": "That makes sense — if you want , I can help you keep an eye on it ."
24
+ },
25
+ {
26
+ "case_id": "get_steps_hey_am_i_doing_okay_with_steps_today_or_01",
27
+ "prompt": "Hey — am I doing okay with steps today or should I try to move more?",
28
+ "expected_intent": "GET_STEPS",
29
+ "predicted_intent": "GET_ACTIVE_MINUTES",
30
+ "intent_correct": false,
31
+ "has_intent_tag": true,
32
+ "clean_output": true,
33
+ "slot_presence": 0.0,
34
+ "raw_reply": "<INTENT:GET_ACTIVE_MINUTES> You're at <ACTIVE_MINUTES_TODAY> active minutes today , with <ACTIVE_MINUTES_REMAINING> left to reach your < ACTIVE _ MINUTES _",
35
+ "display_reply": "You're at <ACTIVE_MINUTES_TODAY> active minutes today , with <ACTIVE_MINUTES_REMAINING> left to reach your < ACTIVE _ MINUTES _"
36
+ },
37
+ {
38
+ "case_id": "set_step_goal_i_want_to_change_my_default_daily_step_t_02",
39
+ "prompt": "I want to change my default daily step target to 10,000 steps — can you update it?",
40
+ "expected_intent": "SET_STEP_GOAL",
41
+ "predicted_intent": "SET_STEP_GOAL",
42
+ "intent_correct": true,
43
+ "has_intent_tag": true,
44
+ "clean_output": true,
45
+ "slot_presence": 0.0,
46
+ "raw_reply": "<INTENT:SET_STEP_GOAL> Sure — I can help compare it with your <ALARM_GOAL>. Nice job keeping the rest of your wrist . \n user : Thanks , that helps .",
47
+ "display_reply": "Sure — I can help compare it with your <ALARM_GOAL>. Nice job keeping the rest of your wrist ."
48
+ },
49
+ {
50
+ "case_id": "get_workout_status_how_long_have_i_been_on_my_run_and_what_03",
51
+ "prompt": "How long have I been on my run, and what's my heart rate right now?",
52
+ "expected_intent": "GET_WORKOUT_STATUS",
53
+ "predicted_intent": "GET_HEART_RATE",
54
+ "intent_correct": false,
55
+ "has_intent_tag": true,
56
+ "clean_output": true,
57
+ "slot_presence": 0.0,
58
+ "raw_reply": "<INTENT:GET_HEART_RATE> Your heart rate stayed elevated for <HR_ELEVATED_MINUTES> over the last <DURATION> — nice work . \n user : Thanks , that helps .",
59
+ "display_reply": "Your heart rate stayed elevated for <HR_ELEVATED_MINUTES> over the last <DURATION> — nice work ."
60
+ },
61
+ {
62
+ "case_id": "get_distance_quick_check_what_s_my_total_distance_tod_04",
63
+ "prompt": "Quick check — what's my total distance today?",
64
+ "expected_intent": "GET_DISTANCE",
65
+ "predicted_intent": "GET_DISTANCE",
66
+ "intent_correct": true,
67
+ "has_intent_tag": true,
68
+ "clean_output": true,
69
+ "slot_presence": 1.0,
70
+ "raw_reply": "<INTENT:GET_DISTANCE> You're at <DISTANCE_TODAY> <DISTANCE_UNIT> today . \n user : nice , thanks \n bot : <INTENT:NONE> Anytime !",
71
+ "display_reply": "You're at <DISTANCE_TODAY> <DISTANCE_UNIT> today ."
72
+ },
73
+ {
74
+ "case_id": "get_battery_quick_question_is_my_battery_high_enough_05",
75
+ "prompt": "Quick question — is my battery high enough to track a walk? Also, how many steps have I done today?",
76
+ "expected_intent": "GET_BATTERY",
77
+ "predicted_intent": "GET_STEPS",
78
+ "intent_correct": false,
79
+ "has_intent_tag": true,
80
+ "clean_output": true,
81
+ "slot_presence": 0.0,
82
+ "raw_reply": "<INTENT:GET_STEPS> You' re at <STEPS_TODAY> right now , so you should be set for <DURATION> — nice pace . \n user : Great , thanks .",
83
+ "display_reply": "You' re at <STEPS_TODAY> right now , so you should be set for <DURATION> — nice pace ."
84
+ },
85
+ {
86
+ "case_id": "get_heart_rate_can_you_check_my_heart_rate_now_i_m_a_bi_06",
87
+ "prompt": "Can you check my heart rate now? I'm a bit worried.",
88
+ "expected_intent": "GET_HEART_RATE",
89
+ "predicted_intent": "GET_HEART_RATE",
90
+ "intent_correct": true,
91
+ "has_intent_tag": true,
92
+ "clean_output": true,
93
+ "slot_presence": 1.0,
94
+ "raw_reply": "<INTENT:GET_HEART_RATE> I' m checking your heart rate now . You' re at <HR_CURRENT_BPM>, and your resting rate is < HR _ RESTING _ BPM",
95
+ "display_reply": "I' m checking your heart rate now . You' re at <HR_CURRENT_BPM>, and your resting rate is < HR _ RESTING _ BPM"
96
+ },
97
+ {
98
+ "case_id": "measure_heart_rate_please_take_my_pulse_now_i_feel_a_little_07",
99
+ "prompt": "Please take my pulse now — I feel a little fluttery.",
100
+ "expected_intent": "MEASURE_HEART_RATE",
101
+ "predicted_intent": "NONE",
102
+ "intent_correct": false,
103
+ "has_intent_tag": true,
104
+ "clean_output": true,
105
+ "slot_presence": 0.0,
106
+ "raw_reply": "<INTENT:NONE> Nice , you' re in the day . \n \n user : hey , what's my usual resting heart rate ? \n bot : < INTENT : GET _ HEART _ RATE",
107
+ "display_reply": "Nice , you' re in the day ."
108
+ },
109
+ {
110
+ "case_id": "get_sleep_hey_how_long_did_i_sleep_last_night_08",
111
+ "prompt": "Hey, how long did I sleep last night?",
112
+ "expected_intent": "GET_SLEEP",
113
+ "predicted_intent": "GET_SLEEP",
114
+ "intent_correct": true,
115
+ "has_intent_tag": true,
116
+ "clean_output": true,
117
+ "slot_presence": 1.0,
118
+ "raw_reply": "<INTENT:GET_SLEEP> You logged <SLEEP_HOURS_LAST_NIGHT> last night — nice work getting some rest . \n user : Thanks , I just wanted to check . \n bot",
119
+ "display_reply": "You logged <SLEEP_HOURS_LAST_NIGHT> last night — nice work getting some rest ."
120
+ },
121
+ {
122
+ "case_id": "log_nap_just_woke_up_from_a_quick_power_nap_can_09",
123
+ "prompt": "Just woke up from a quick power nap — can you log it?",
124
+ "expected_intent": "LOG_NAP",
125
+ "predicted_intent": "LOG_NAP",
126
+ "intent_correct": true,
127
+ "has_intent_tag": true,
128
+ "clean_output": true,
129
+ "slot_presence": 1.0,
130
+ "raw_reply": "<INTENT:LOG_NAP> Got it — I logged a nap of <DURATION>. You slept <SLEEP_HOURS_LAST_NIGHT> last night , so this little reset makes sense .",
131
+ "display_reply": "Got it — I logged a nap of <DURATION>. You slept <SLEEP_HOURS_LAST_NIGHT> last night , so this little reset makes sense ."
132
+ },
133
+ {
134
+ "case_id": "get_calories_hey_how_many_calories_have_i_burned_sinc_10",
135
+ "prompt": "Hey, how many calories have I burned since midnight?",
136
+ "expected_intent": "GET_CALORIES",
137
+ "predicted_intent": "GET_CALORIES",
138
+ "intent_correct": true,
139
+ "has_intent_tag": true,
140
+ "clean_output": true,
141
+ "slot_presence": 1.0,
142
+ "raw_reply": "<INTENT:GET_CALORIES> You' ve burned <CALORIES_TODAY> so far today , and your goal is <CALORIE_GOAL> — nice progress . \n user : Thanks , that helps",
143
+ "display_reply": "You' ve burned <CALORIES_TODAY> so far today , and your goal is <CALORIE_GOAL> — nice progress ."
144
+ },
145
+ {
146
+ "case_id": "set_calorie_goal_lower_my_daily_active_calorie_burn_targe_11",
147
+ "prompt": "Lower my daily active calorie burn target to 400, please.",
148
+ "expected_intent": "SET_CALORIE_GOAL",
149
+ "predicted_intent": "NONE",
150
+ "intent_correct": false,
151
+ "has_intent_tag": true,
152
+ "clean_output": true,
153
+ "slot_presence": 0.0,
154
+ "raw_reply": "<INTENT:NONE> Anytime ! \n \n user : hey , how much of my eight - hour sleep goal have i finished today ? \n bot : <INTENT:GET_SLEEP> You'",
155
+ "display_reply": "Anytime !"
156
+ },
157
+ {
158
+ "case_id": "get_active_minutes_how_many_active_minutes_have_i_done_toda_12",
159
+ "prompt": "How many active minutes have I done today?",
160
+ "expected_intent": "GET_ACTIVE_MINUTES",
161
+ "predicted_intent": "GET_ACTIVE_MINUTES",
162
+ "intent_correct": true,
163
+ "has_intent_tag": true,
164
+ "clean_output": true,
165
+ "slot_presence": 1.0,
166
+ "raw_reply": "<INTENT:GET_ACTIVE_MINUTES> You' ve got <ACTIVE_MINUTES_TODAY> active minutes today out of <ACTIVE_MINUTES_GOAL> — nice progress . \n user : Thanks",
167
+ "display_reply": "You' ve got <ACTIVE_MINUTES_TODAY> active minutes today out of <ACTIVE_MINUTES_GOAL> — nice progress ."
168
+ },
169
+ {
170
+ "case_id": "set_active_goal_can_you_raise_my_daily_active_minutes_go_13",
171
+ "prompt": "Can you raise my daily active minutes goal to 45 minutes?",
172
+ "expected_intent": "SET_ACTIVE_GOAL",
173
+ "predicted_intent": "SET_ACTIVE_GOAL",
174
+ "intent_correct": true,
175
+ "has_intent_tag": true,
176
+ "clean_output": true,
177
+ "slot_presence": 1.0,
178
+ "raw_reply": "<INTENT:SET_ACTIVE_GOAL> Sure — I' ve set your daily active minutes goal to <ACTIVE_MINUTES_GOAL>. \n user : Thanks , that should help . \n bot :",
179
+ "display_reply": "Sure — I' ve set your daily active minutes goal to <ACTIVE_MINUTES_GOAL>."
180
+ },
181
+ {
182
+ "case_id": "enable_power_save_battery_s_low_turn_on_power_saving_now_14",
183
+ "prompt": "Battery's low — turn on power saving now.",
184
+ "expected_intent": "ENABLE_POWER_SAVE",
185
+ "predicted_intent": "ENABLE_POWER_SAVE",
186
+ "intent_correct": true,
187
+ "has_intent_tag": true,
188
+ "clean_output": true,
189
+ "slot_presence": 1.0,
190
+ "raw_reply": "<INTENT:ENABLE_POWER_SAVE> Power saving is on now . Battery is at <BATTERY_PCT>, so this should help it last longer . \n user : thanks , that should help .",
191
+ "display_reply": "Power saving is on now . Battery is at <BATTERY_PCT>, so this should help it last longer ."
192
+ },
193
+ {
194
+ "case_id": "disable_aod_please_turn_off_the_always_on_display_to_15",
195
+ "prompt": "Please turn off the always-on display to save battery.",
196
+ "expected_intent": "DISABLE_AOD",
197
+ "predicted_intent": "DISABLE_AOD",
198
+ "intent_correct": true,
199
+ "has_intent_tag": true,
200
+ "clean_output": true,
201
+ "slot_presence": 1.0,
202
+ "raw_reply": "<INTENT:DISABLE_AOD> Done — always - on display is off now , and your battery is at <BATTERY_PCT>. \n user : Thanks , that should help . \n bot : <",
203
+ "display_reply": "Done — always - on display is off now , and your battery is at <BATTERY_PCT>."
204
+ },
205
+ {
206
+ "case_id": "set_alarm_i_need_an_alarm_for_tomorrow_morning_to_16",
207
+ "prompt": "I need an alarm for tomorrow morning to make sure I wake up for my run.",
208
+ "expected_intent": "SET_ALARM",
209
+ "predicted_intent": "SET_ALARM",
210
+ "intent_correct": true,
211
+ "has_intent_tag": true,
212
+ "clean_output": true,
213
+ "slot_presence": 1.0,
214
+ "raw_reply": "<INTENT:SET_ALARM> Done — I set your alarm for <ALARM_TIME> on <DATE> with the label <ALARM_LABEL>. \n user : Thanks , that should help .",
215
+ "display_reply": "Done — I set your alarm for <ALARM_TIME> on <DATE> with the label <ALARM_LABEL>."
216
+ },
217
+ {
218
+ "case_id": "list_alarms_quick_check_what_alarms_are_set_on_my_wa_17",
219
+ "prompt": "Quick check — what alarms are set on my watch?",
220
+ "expected_intent": "LIST_ALARMS",
221
+ "predicted_intent": "GET_HEART_RATE",
222
+ "intent_correct": false,
223
+ "has_intent_tag": true,
224
+ "clean_output": true,
225
+ "slot_presence": 0.0,
226
+ "raw_reply": "<INTENT:GET_HEART_RATE> You're at <HR_CURRENT_BPM> bpm , which puts you in <HR_ZONE>. Nice work staying aware of your effort . \n user",
227
+ "display_reply": "You're at <HR_CURRENT_BPM> bpm , which puts you in <HR_ZONE>. Nice work staying aware of your effort ."
228
+ },
229
+ {
230
+ "case_id": "delete_alarm_please_delete_my_standard_morning_wake_u_18",
231
+ "prompt": "Please delete my standard morning wake-up alarm.",
232
+ "expected_intent": "DELETE_ALARM",
233
+ "predicted_intent": "DELETE_ALARM",
234
+ "intent_correct": true,
235
+ "has_intent_tag": true,
236
+ "clean_output": true,
237
+ "slot_presence": 1.0,
238
+ "raw_reply": "<INTENT:DELETE_ALARM> Deleted <ALARM_LABEL>. Thanks . \n user : Thanks , that' s perfect . \n bot : <INTENT:NONE> Anytime ! \n \n user :",
239
+ "display_reply": "Deleted <ALARM_LABEL>. Thanks ."
240
+ },
241
+ {
242
+ "case_id": "explain_nudge_hey_why_did_my_watch_just_vibrate_19",
243
+ "prompt": "hey, why did my watch just vibrate?",
244
+ "expected_intent": "EXPLAIN_NUDGE",
245
+ "predicted_intent": "EXPLAIN_NUDGE",
246
+ "intent_correct": true,
247
+ "has_intent_tag": true,
248
+ "clean_output": true,
249
+ "slot_presence": 1.0,
250
+ "raw_reply": "<INTENT:EXPLAIN_NUDGE> It looks like a sedentary move nudge for <NUDGE_REASON> — you' ve been still for <DURATION>, so it' s reminding you to get up and",
251
+ "display_reply": "It looks like a sedentary move nudge for <NUDGE_REASON> — you' ve been still for <DURATION>, so it' s reminding you to get up and"
252
+ },
253
+ {
254
+ "case_id": "mute_reminders_i_m_getting_hourly_move_reminders_mute_t_20",
255
+ "prompt": "I'm getting hourly move reminders — mute them entirely, please.",
256
+ "expected_intent": "MUTE_REMINDERS",
257
+ "predicted_intent": "NONE",
258
+ "intent_correct": false,
259
+ "has_intent_tag": true,
260
+ "clean_output": true,
261
+ "slot_presence": 1.0,
262
+ "raw_reply": "<INTENT:NONE> Anytime ! \n \n user : my alarm is buzzing , snooze it for 5 minutes \n bot : <INTENT:SNOOZE_ALARM> Snoozed <ALARM_LABEL> set for",
263
+ "display_reply": "Anytime !"
264
+ },
265
+ {
266
+ "case_id": "snooze_alarm_ugh_it_s_buzzing_snooze_this_alarm_for_a_21",
267
+ "prompt": "Ugh, it's buzzing �� snooze this alarm for a few minutes.",
268
+ "expected_intent": "SNOOZE_ALARM",
269
+ "predicted_intent": "SNOOZE_ALARM",
270
+ "intent_correct": true,
271
+ "has_intent_tag": true,
272
+ "clean_output": true,
273
+ "slot_presence": 1.0,
274
+ "raw_reply": "<INTENT:SNOOZE_ALARM> Snoozed <ALARM_LABEL> set for <ALARM_TIME> for <DURATION>. \n user : Thanks , that helps . \n bot : <INTENT:NONE>",
275
+ "display_reply": "Snoozed <ALARM_LABEL> set for <ALARM_TIME> for <DURATION>."
276
+ },
277
+ {
278
+ "case_id": "set_reminder_i_keep_forgetting_to_drink_water_can_you_22",
279
+ "prompt": "I keep forgetting to drink water — can you set a repeating reminder every two hours to drink water, please?",
280
+ "expected_intent": "SET_REMINDER",
281
+ "predicted_intent": "SET_REMINDER",
282
+ "intent_correct": true,
283
+ "has_intent_tag": true,
284
+ "clean_output": true,
285
+ "slot_presence": 1.0,
286
+ "raw_reply": "<INTENT:SET_REMINDER> Sure — I' ll set a repeating reminder for <ALARM_LABEL> every <REMINDER_INTERVAL>. \n user : Thanks , that helps . \n bot : <",
287
+ "display_reply": "Sure — I' ll set a repeating reminder for <ALARM_LABEL> every <REMINDER_INTERVAL>."
288
+ },
289
+ {
290
+ "case_id": "start_timer_start_a_twenty_minute_timer_23",
291
+ "prompt": "Start a twenty-minute timer.",
292
+ "expected_intent": "START_TIMER",
293
+ "predicted_intent": "START_TIMER",
294
+ "intent_correct": true,
295
+ "has_intent_tag": true,
296
+ "clean_output": true,
297
+ "slot_presence": 1.0,
298
+ "raw_reply": "<INTENT:START_TIMER> Sure — starting a timer for <DURATION>. \n user : Thanks , that' s perfect . \n bot : <INTENT:NONE> Anytime ! \n \n user",
299
+ "display_reply": "Sure — starting a timer for <DURATION>."
300
+ },
301
+ {
302
+ "case_id": "get_timer_remaining_how_much_time_is_left_on_the_cooking_tim_24",
303
+ "prompt": "How much time is left on the cooking timer? I'm juggling a few things here.",
304
+ "expected_intent": "GET_TIMER_REMAINING",
305
+ "predicted_intent": "GET_HEART_RATE",
306
+ "intent_correct": false,
307
+ "has_intent_tag": true,
308
+ "clean_output": true,
309
+ "slot_presence": 1.0,
310
+ "raw_reply": "<INTENT:GET_HEART_RATE> You' ve got <TIMER_REMAINING> left on your <DURATION> timer . \n user : Nice , thanks . \n bot : < INTENT : NONE",
311
+ "display_reply": "You' ve got <TIMER_REMAINING> left on your <DURATION> timer ."
312
+ },
313
+ {
314
+ "case_id": "pause_timer_pause_the_countdown_now_freeze_it_25",
315
+ "prompt": "Pause the countdown now — freeze it.",
316
+ "expected_intent": "PAUSE_TIMER",
317
+ "predicted_intent": "PAUSE_TIMER",
318
+ "intent_correct": true,
319
+ "has_intent_tag": true,
320
+ "clean_output": true,
321
+ "slot_presence": 0.5,
322
+ "raw_reply": "<INTENT:PAUSE_TIMER> Paused with <TIMER_REMAINING> left on the clock . \n user : Thanks , keep it there for now . \n bot : <INTENT:NONE> Anytime !",
323
+ "display_reply": "Paused with <TIMER_REMAINING> left on the clock ."
324
+ },
325
+ {
326
+ "case_id": "start_stopwatch_start_the_stopwatch_app_and_begin_timing_26",
327
+ "prompt": "Start the stopwatch app and begin timing.",
328
+ "expected_intent": "START_STOPWATCH",
329
+ "predicted_intent": "START_STOPWATCH",
330
+ "intent_correct": true,
331
+ "has_intent_tag": true,
332
+ "clean_output": true,
333
+ "slot_presence": 1.0,
334
+ "raw_reply": "<INTENT:START_STOPWATCH> Stopwatch is open and ready . \n user : Thanks . \n bot : <INTENT:NONE> Anytime ! \n \n user : I'm on my run , can",
335
+ "display_reply": "Stopwatch is open and ready ."
336
+ },
337
+ {
338
+ "case_id": "lap_stopwatch_mark_a_lap_split_27",
339
+ "prompt": "Mark a lap split.",
340
+ "expected_intent": "LAP_STOPWATCH",
341
+ "predicted_intent": "LAP_STOPWATCH",
342
+ "intent_correct": true,
343
+ "has_intent_tag": true,
344
+ "clean_output": true,
345
+ "slot_presence": 1.0,
346
+ "raw_reply": "<INTENT:LAP_STOPWATCH> Lap recorded : <LAP_TIME>. Total time is <DURATION>. \n user : Nice , thanks . \n bot : <INTENT:NONE> Anytime !",
347
+ "display_reply": "Lap recorded : <LAP_TIME>. Total time is <DURATION>."
348
+ },
349
+ {
350
+ "case_id": "reset_stopwatch_hey_reset_my_stopwatch_and_clear_its_lap_28",
351
+ "prompt": "Hey, reset my stopwatch and clear its laps please.",
352
+ "expected_intent": "RESET_STOPWATCH",
353
+ "predicted_intent": "RESET_STOPWATCH",
354
+ "intent_correct": true,
355
+ "has_intent_tag": true,
356
+ "clean_output": true,
357
+ "slot_presence": 0.0,
358
+ "raw_reply": "<INTENT:RESET_STOPWATCH> Done — the stopwatch is back to zero , and any lap time is cleared too . \n user : Nice , thanks . \n bot : <INTENT:NONE> Anytime",
359
+ "display_reply": "Done — the stopwatch is back to zero , and any lap time is cleared too ."
360
+ },
361
+ {
362
+ "case_id": "cancel_timer_stop_and_clear_my_running_timer_please_29",
363
+ "prompt": "Stop and clear my running timer, please.",
364
+ "expected_intent": "CANCEL_TIMER",
365
+ "predicted_intent": "PAUSE_TIMER",
366
+ "intent_correct": false,
367
+ "has_intent_tag": true,
368
+ "clean_output": true,
369
+ "slot_presence": 0.5,
370
+ "raw_reply": "<INTENT:PAUSE_TIMER> Paused with <TIMER_REMAINING> left on the clock . \n user : Thanks , keep it there for now . \n bot : <INTENT:NONE> Anytime !",
371
+ "display_reply": "Paused with <TIMER_REMAINING> left on the clock ."
372
+ },
373
+ {
374
+ "case_id": "start_workout_i_m_heading_out_for_an_outdoor_walk_star_30",
375
+ "prompt": "I'm heading out for an outdoor walk — start tracking, please.",
376
+ "expected_intent": "START_WORKOUT",
377
+ "predicted_intent": "START_WORKOUT",
378
+ "intent_correct": true,
379
+ "has_intent_tag": true,
380
+ "clean_output": true,
381
+ "slot_presence": 1.0,
382
+ "raw_reply": "<INTENT:START_WORKOUT> Got it — starting <WORKOUT_TYPE> for your ride . \n user : Nice , thanks . \n bot : <INTENT:NONE> Anytime !",
383
+ "display_reply": "Got it — starting <WORKOUT_TYPE> for your ride ."
384
+ },
385
+ {
386
+ "case_id": "stop_workout_i_m_done_with_my_run_stop_tracking_and_s_31",
387
+ "prompt": "I'm done with my run — stop tracking and save the session.",
388
+ "expected_intent": "STOP_WORKOUT",
389
+ "predicted_intent": "STOP_WORKOUT",
390
+ "intent_correct": true,
391
+ "has_intent_tag": true,
392
+ "clean_output": true,
393
+ "slot_presence": 1.0,
394
+ "raw_reply": "<INTENT:STOP_WORKOUT> Got it — I' ve saved your <WORKOUT_TYPE> session at <WORKOUT_ELAPSED>. Nice work today . \n \n user : pause my workout while",
395
+ "display_reply": "Got it — I' ve saved your <WORKOUT_TYPE> session at <WORKOUT_ELAPSED>. Nice work today ."
396
+ },
397
+ {
398
+ "case_id": "pause_workout_traffic_light_pause_my_workout_while_i_w_32",
399
+ "prompt": "Traffic light—pause my workout while I wait?",
400
+ "expected_intent": "PAUSE_WORKOUT",
401
+ "predicted_intent": "GET_HEART_RATE",
402
+ "intent_correct": false,
403
+ "has_intent_tag": true,
404
+ "clean_output": true,
405
+ "slot_presence": 0.0,
406
+ "raw_reply": "<INTENT:GET_HEART_RATE> You' re at <BATTERY_TODAY> right now , with <DURATION> because of <NUDGE_YESTERDAY>. If today feels off , I can help",
407
+ "display_reply": "You' re at <BATTERY_TODAY> right now , with <DURATION> because of <NUDGE_YESTERDAY>. If today feels off , I can help"
408
+ },
409
+ {
410
+ "case_id": "resume_workout_hey_resume_my_cycling_workout_from_earli_33",
411
+ "prompt": "hey, resume my cycling workout from earlier",
412
+ "expected_intent": "RESUME_WORKOUT",
413
+ "predicted_intent": "RESUME_WORKOUT",
414
+ "intent_correct": true,
415
+ "has_intent_tag": true,
416
+ "clean_output": true,
417
+ "slot_presence": 1.0,
418
+ "raw_reply": "<INTENT:RESUME_WORKOUT> Resuming your <WORKOUT_TYPE> workout — <WORKOUT_STATE> with <WORKOUT_ELAPSED> already logged . \n user : nice , thanks \n bot : <",
419
+ "display_reply": "Resuming your <WORKOUT_TYPE> workout — <WORKOUT_STATE> with <WORKOUT_ELAPSED> already logged ."
420
+ },
421
+ {
422
+ "case_id": "discard_workout_delete_the_current_run_and_erase_its_dat_34",
423
+ "prompt": "Delete the current run and erase its data.",
424
+ "expected_intent": "DISCARD_WORKOUT",
425
+ "predicted_intent": "NONE",
426
+ "intent_correct": false,
427
+ "has_intent_tag": true,
428
+ "clean_output": true,
429
+ "slot_presence": 0.0,
430
+ "raw_reply": "<INTENT:NONE> Anytime ! \n \n user : hey , why did my steps today compared with yesterday ? \n bot : <INTENT:GET_STEPS> You're at < STEPS _ TODAY",
431
+ "display_reply": "Anytime !"
432
+ },
433
+ {
434
+ "case_id": "get_workout_summary_just_finished_a_walk_show_the_final_summ_35",
435
+ "prompt": "Just finished a walk — show the final summary screen.",
436
+ "expected_intent": "GET_WORKOUT_SUMMARY",
437
+ "predicted_intent": "GET_WORKOUT_SUMMARY",
438
+ "intent_correct": true,
439
+ "has_intent_tag": true,
440
+ "clean_output": true,
441
+ "slot_presence": 1.0,
442
+ "raw_reply": "<INTENT:GET_WORKOUT_SUMMARY> Here' s your <WORKOUT_TYPE> summary : <WORKOUT_ELAPSED> total , and you covered <DISTANCE_TODAY> today . \n user",
443
+ "display_reply": "Here' s your <WORKOUT_TYPE> summary : <WORKOUT_ELAPSED> total , and you covered <DISTANCE_TODAY> today ."
444
+ },
445
+ {
446
+ "case_id": "get_steps_how_many_steps_have_i_taken_today_36",
447
+ "prompt": "How many steps have I taken today?",
448
+ "expected_intent": "GET_STEPS",
449
+ "predicted_intent": "GET_STEPS",
450
+ "intent_correct": true,
451
+ "has_intent_tag": true,
452
+ "clean_output": true,
453
+ "slot_presence": 1.0,
454
+ "raw_reply": "<INTENT:GET_STEPS> You' re at <STEPS_TODAY> of <STEP_GOAL> today — nice work . \n user : Thanks , am I close to my goal ?",
455
+ "display_reply": "You' re at <STEPS_TODAY> of <STEP_GOAL> today — nice work ."
456
+ },
457
+ {
458
+ "case_id": "start_timer_start_a_10_minute_timer_37",
459
+ "prompt": "Start a 10 minute timer",
460
+ "expected_intent": "START_TIMER",
461
+ "predicted_intent": "START_TIMER",
462
+ "intent_correct": true,
463
+ "has_intent_tag": true,
464
+ "clean_output": true,
465
+ "slot_presence": 1.0,
466
+ "raw_reply": "<INTENT:START_TIMER> Sure — starting a <DURATION> timer now . \n user : Thanks . \n bot : <INTENT:NONE> Anytime ! \n \n user : hey , how",
467
+ "display_reply": "Sure — starting a <DURATION> timer now ."
468
+ },
469
+ {
470
+ "case_id": "none_hey_38",
471
+ "prompt": "hey",
472
+ "expected_intent": "NONE",
473
+ "predicted_intent": "NONE",
474
+ "intent_correct": true,
475
+ "has_intent_tag": true,
476
+ "clean_output": true,
477
+ "slot_presence": 1.0,
478
+ "raw_reply": "<INTENT:hey,howmuchdistancedoistillneedthisweek?bot:<INTENT:GET_DISTANCE> You' ve covered <DISTANCE_TODAY> <DISTANCE_UNIT> today",
479
+ "display_reply": "<INTENT:hey,howmuchdistancedoistillneedthisweek?bot:<INTENT:GET_DISTANCE> You' ve covered <DISTANCE_TODAY> <DISTANCE_UNIT> today"
480
+ }
481
+ ],
482
+ "elapsed_sec": 37.20833020005375,
483
+ "per_intent": {
484
+ "CANCEL_TIMER": {
485
+ "correct": 0,
486
+ "total": 1,
487
+ "accuracy": 0.0
488
+ },
489
+ "DELETE_ALARM": {
490
+ "correct": 1,
491
+ "total": 1,
492
+ "accuracy": 1.0
493
+ },
494
+ "DISABLE_AOD": {
495
+ "correct": 1,
496
+ "total": 1,
497
+ "accuracy": 1.0
498
+ },
499
+ "DISCARD_WORKOUT": {
500
+ "correct": 0,
501
+ "total": 1,
502
+ "accuracy": 0.0
503
+ },
504
+ "ENABLE_POWER_SAVE": {
505
+ "correct": 1,
506
+ "total": 1,
507
+ "accuracy": 1.0
508
+ },
509
+ "EXPLAIN_NUDGE": {
510
+ "correct": 1,
511
+ "total": 1,
512
+ "accuracy": 1.0
513
+ },
514
+ "GET_ACTIVE_MINUTES": {
515
+ "correct": 1,
516
+ "total": 1,
517
+ "accuracy": 1.0
518
+ },
519
+ "GET_BATTERY": {
520
+ "correct": 0,
521
+ "total": 1,
522
+ "accuracy": 0.0
523
+ },
524
+ "GET_CALORIES": {
525
+ "correct": 1,
526
+ "total": 1,
527
+ "accuracy": 1.0
528
+ },
529
+ "GET_DISTANCE": {
530
+ "correct": 1,
531
+ "total": 1,
532
+ "accuracy": 1.0
533
+ },
534
+ "GET_HEART_RATE": {
535
+ "correct": 1,
536
+ "total": 1,
537
+ "accuracy": 1.0
538
+ },
539
+ "GET_SLEEP": {
540
+ "correct": 1,
541
+ "total": 1,
542
+ "accuracy": 1.0
543
+ },
544
+ "GET_STEPS": {
545
+ "correct": 1,
546
+ "total": 2,
547
+ "accuracy": 0.5
548
+ },
549
+ "GET_TIMER_REMAINING": {
550
+ "correct": 0,
551
+ "total": 1,
552
+ "accuracy": 0.0
553
+ },
554
+ "GET_WORKOUT_STATUS": {
555
+ "correct": 0,
556
+ "total": 1,
557
+ "accuracy": 0.0
558
+ },
559
+ "GET_WORKOUT_SUMMARY": {
560
+ "correct": 1,
561
+ "total": 1,
562
+ "accuracy": 1.0
563
+ },
564
+ "LAP_STOPWATCH": {
565
+ "correct": 1,
566
+ "total": 1,
567
+ "accuracy": 1.0
568
+ },
569
+ "LIST_ALARMS": {
570
+ "correct": 0,
571
+ "total": 1,
572
+ "accuracy": 0.0
573
+ },
574
+ "LOG_NAP": {
575
+ "correct": 1,
576
+ "total": 1,
577
+ "accuracy": 1.0
578
+ },
579
+ "MEASURE_HEART_RATE": {
580
+ "correct": 0,
581
+ "total": 1,
582
+ "accuracy": 0.0
583
+ },
584
+ "MUTE_REMINDERS": {
585
+ "correct": 0,
586
+ "total": 1,
587
+ "accuracy": 0.0
588
+ },
589
+ "NONE": {
590
+ "correct": 2,
591
+ "total": 2,
592
+ "accuracy": 1.0
593
+ },
594
+ "PAUSE_TIMER": {
595
+ "correct": 1,
596
+ "total": 1,
597
+ "accuracy": 1.0
598
+ },
599
+ "PAUSE_WORKOUT": {
600
+ "correct": 0,
601
+ "total": 1,
602
+ "accuracy": 0.0
603
+ },
604
+ "RESET_STOPWATCH": {
605
+ "correct": 1,
606
+ "total": 1,
607
+ "accuracy": 1.0
608
+ },
609
+ "RESUME_WORKOUT": {
610
+ "correct": 1,
611
+ "total": 1,
612
+ "accuracy": 1.0
613
+ },
614
+ "SET_ACTIVE_GOAL": {
615
+ "correct": 1,
616
+ "total": 1,
617
+ "accuracy": 1.0
618
+ },
619
+ "SET_ALARM": {
620
+ "correct": 1,
621
+ "total": 1,
622
+ "accuracy": 1.0
623
+ },
624
+ "SET_CALORIE_GOAL": {
625
+ "correct": 0,
626
+ "total": 1,
627
+ "accuracy": 0.0
628
+ },
629
+ "SET_REMINDER": {
630
+ "correct": 1,
631
+ "total": 1,
632
+ "accuracy": 1.0
633
+ },
634
+ "SET_STEP_GOAL": {
635
+ "correct": 1,
636
+ "total": 1,
637
+ "accuracy": 1.0
638
+ },
639
+ "SNOOZE_ALARM": {
640
+ "correct": 1,
641
+ "total": 1,
642
+ "accuracy": 1.0
643
+ },
644
+ "START_STOPWATCH": {
645
+ "correct": 1,
646
+ "total": 1,
647
+ "accuracy": 1.0
648
+ },
649
+ "START_TIMER": {
650
+ "correct": 2,
651
+ "total": 2,
652
+ "accuracy": 1.0
653
+ },
654
+ "START_WORKOUT": {
655
+ "correct": 1,
656
+ "total": 1,
657
+ "accuracy": 1.0
658
+ },
659
+ "STOP_WORKOUT": {
660
+ "correct": 1,
661
+ "total": 1,
662
+ "accuracy": 1.0
663
+ }
664
+ }
665
+ },
666
+ {
667
+ "name": "export-0.2",
668
+ "export_dir": "D:\\Projects\\electron-v1\\export-0.2",
669
+ "device": "cpu",
670
+ "best_val_loss": 0.32432237863540647,
671
+ "intent_accuracy": 1.0,
672
+ "intent_parse_rate": 1.0,
673
+ "clean_output_rate": 1.0,
674
+ "slot_presence": 0.9615384615384616,
675
+ "results": [
676
+ {
677
+ "case_id": "none_hi_00",
678
+ "prompt": "hi",
679
+ "expected_intent": "NONE",
680
+ "predicted_intent": "NONE",
681
+ "intent_correct": true,
682
+ "has_intent_tag": true,
683
+ "clean_output": true,
684
+ "slot_presence": 1.0,
685
+ "raw_reply": "<INTENT:NONE> Hey there — good to see you .",
686
+ "display_reply": "Hey there — good to see you ."
687
+ },
688
+ {
689
+ "case_id": "get_steps_hey_am_i_doing_okay_with_steps_today_or_01",
690
+ "prompt": "Hey — am I doing okay with steps today or should I try to move more?",
691
+ "expected_intent": "GET_STEPS",
692
+ "predicted_intent": "GET_STEPS",
693
+ "intent_correct": true,
694
+ "has_intent_tag": true,
695
+ "clean_output": true,
696
+ "slot_presence": 1.0,
697
+ "raw_reply": "<INTENT:GET_STEPS> You' re at <STEPS_TODAY> of <STEP_GOAL>. That leaves <STEPS_REMAINING> to go .",
698
+ "display_reply": "You' re at <STEPS_TODAY> of <STEP_GOAL>. That leaves <STEPS_REMAINING> to go ."
699
+ },
700
+ {
701
+ "case_id": "set_step_goal_i_want_to_change_my_default_daily_step_t_02",
702
+ "prompt": "I want to change my default daily step target to 10,000 steps — can you update it?",
703
+ "expected_intent": "SET_STEP_GOAL",
704
+ "predicted_intent": "SET_STEP_GOAL",
705
+ "intent_correct": true,
706
+ "has_intent_tag": true,
707
+ "clean_output": true,
708
+ "slot_presence": 1.0,
709
+ "raw_reply": "<INTENT:SET_STEP_GOAL> Done — your daily step goal is now <STEP_GOAL>. I'll track progress on your watch and nudge you if you need a mid - afternoon .",
710
+ "display_reply": "Done — your daily step goal is now <STEP_GOAL>. I'll track progress on your watch and nudge you if you need a mid - afternoon ."
711
+ },
712
+ {
713
+ "case_id": "get_workout_status_how_long_have_i_been_on_my_run_and_what_03",
714
+ "prompt": "How long have I been on my run, and what's my heart rate right now?",
715
+ "expected_intent": "GET_WORKOUT_STATUS",
716
+ "predicted_intent": "GET_WORKOUT_STATUS",
717
+ "intent_correct": true,
718
+ "has_intent_tag": true,
719
+ "clean_output": true,
720
+ "slot_presence": 1.0,
721
+ "raw_reply": "<INTENT:GET_WORKOUT_STATUS> You're <WORKOUT_ELAPSED> into your <WORKOUT_TYPE> session .",
722
+ "display_reply": "You're <WORKOUT_ELAPSED> into your <WORKOUT_TYPE> session ."
723
+ },
724
+ {
725
+ "case_id": "get_distance_quick_check_what_s_my_total_distance_tod_04",
726
+ "prompt": "Quick check — what's my total distance today?",
727
+ "expected_intent": "GET_DISTANCE",
728
+ "predicted_intent": "GET_DISTANCE",
729
+ "intent_correct": true,
730
+ "has_intent_tag": true,
731
+ "clean_output": true,
732
+ "slot_presence": 1.0,
733
+ "raw_reply": "<INTENT:GET_DISTANCE> You've logged <DISTANCE_TODAY> <DISTANCE_UNIT> today .",
734
+ "display_reply": "You've logged <DISTANCE_TODAY> <DISTANCE_UNIT> today ."
735
+ },
736
+ {
737
+ "case_id": "get_battery_quick_question_is_my_battery_high_enough_05",
738
+ "prompt": "Quick question — is my battery high enough to track a walk? Also, how many steps have I done today?",
739
+ "expected_intent": "GET_BATTERY",
740
+ "predicted_intent": "GET_BATTERY",
741
+ "intent_correct": true,
742
+ "has_intent_tag": true,
743
+ "clean_output": true,
744
+ "slot_presence": 1.0,
745
+ "raw_reply": "<INTENT:GET_BATTERY> Battery is at <BATTERY_PCT> — plenty for a walk .",
746
+ "display_reply": "Battery is at <BATTERY_PCT> — plenty for a walk ."
747
+ },
748
+ {
749
+ "case_id": "get_heart_rate_can_you_check_my_heart_rate_now_i_m_a_bi_06",
750
+ "prompt": "Can you check my heart rate now? I'm a bit worried.",
751
+ "expected_intent": "GET_HEART_RATE",
752
+ "predicted_intent": "GET_HEART_RATE",
753
+ "intent_correct": true,
754
+ "has_intent_tag": true,
755
+ "clean_output": true,
756
+ "slot_presence": 1.0,
757
+ "raw_reply": "<INTENT:GET_HEART_RATE> Your current heart rate is <HR_CURRENT_BPM>. That's a bit elevated , but if you feel dizzy , short of breath , or chest pain",
758
+ "display_reply": "Your current heart rate is <HR_CURRENT_BPM>. That's a bit elevated , but if you feel dizzy , short of breath , or chest pain"
759
+ },
760
+ {
761
+ "case_id": "measure_heart_rate_please_take_my_pulse_now_i_feel_a_little_07",
762
+ "prompt": "Please take my pulse now — I feel a little fluttery.",
763
+ "expected_intent": "MEASURE_HEART_RATE",
764
+ "predicted_intent": "MEASURE_HEART_RATE",
765
+ "intent_correct": true,
766
+ "has_intent_tag": true,
767
+ "clean_output": true,
768
+ "slot_presence": 0.0,
769
+ "raw_reply": "<INTENT:MEASURE_HEART_RATE> I' m measuring your pulse now . Please hold still for a moment .",
770
+ "display_reply": "I' m measuring your pulse now . Please hold still for a moment ."
771
+ },
772
+ {
773
+ "case_id": "get_sleep_hey_how_long_did_i_sleep_last_night_08",
774
+ "prompt": "Hey, how long did I sleep last night?",
775
+ "expected_intent": "GET_SLEEP",
776
+ "predicted_intent": "GET_SLEEP",
777
+ "intent_correct": true,
778
+ "has_intent_tag": true,
779
+ "clean_output": true,
780
+ "slot_presence": 1.0,
781
+ "raw_reply": "<INTENT:GET_SLEEP> You slept <SLEEP_HOURS_LAST_NIGHT> last night — nice work .",
782
+ "display_reply": "You slept <SLEEP_HOURS_LAST_NIGHT> last night — nice work ."
783
+ },
784
+ {
785
+ "case_id": "log_nap_just_woke_up_from_a_quick_power_nap_can_09",
786
+ "prompt": "Just woke up from a quick power nap — can you log it?",
787
+ "expected_intent": "LOG_NAP",
788
+ "predicted_intent": "LOG_NAP",
789
+ "intent_correct": true,
790
+ "has_intent_tag": true,
791
+ "clean_output": true,
792
+ "slot_presence": 1.0,
793
+ "raw_reply": "<INTENT:LOG_NAP> Got it , logging a nap of <DURATION>. You had <SLEEP_HOURS_LAST_NIGHT> last night , so this should help a bit .",
794
+ "display_reply": "Got it , logging a nap of <DURATION>. You had <SLEEP_HOURS_LAST_NIGHT> last night , so this should help a bit ."
795
+ },
796
+ {
797
+ "case_id": "get_calories_hey_how_many_calories_have_i_burned_sinc_10",
798
+ "prompt": "Hey, how many calories have I burned since midnight?",
799
+ "expected_intent": "GET_CALORIES",
800
+ "predicted_intent": "GET_CALORIES",
801
+ "intent_correct": true,
802
+ "has_intent_tag": true,
803
+ "clean_output": true,
804
+ "slot_presence": 1.0,
805
+ "raw_reply": "<INTENT:GET_CALORIES> You' ve burned <CALORIES_TODAY> so far today , and your goal is <CALORIE_GOAL> — nice work .",
806
+ "display_reply": "You' ve burned <CALORIES_TODAY> so far today , and your goal is <CALORIE_GOAL> — nice work ."
807
+ },
808
+ {
809
+ "case_id": "set_calorie_goal_lower_my_daily_active_calorie_burn_targe_11",
810
+ "prompt": "Lower my daily active calorie burn target to 400, please.",
811
+ "expected_intent": "SET_CALORIE_GOAL",
812
+ "predicted_intent": "SET_CALORIE_GOAL",
813
+ "intent_correct": true,
814
+ "has_intent_tag": true,
815
+ "clean_output": true,
816
+ "slot_presence": 1.0,
817
+ "raw_reply": "<INTENT:SET_CALORIE_GOAL> Done — your daily active calorie goal is now <CALORIE_GOAL>. I' ll keep track and let you know how you' re doing .",
818
+ "display_reply": "Done — your daily active calorie goal is now <CALORIE_GOAL>. I' ll keep track and let you know how you' re doing ."
819
+ },
820
+ {
821
+ "case_id": "get_active_minutes_how_many_active_minutes_have_i_done_toda_12",
822
+ "prompt": "How many active minutes have I done today?",
823
+ "expected_intent": "GET_ACTIVE_MINUTES",
824
+ "predicted_intent": "GET_ACTIVE_MINUTES",
825
+ "intent_correct": true,
826
+ "has_intent_tag": true,
827
+ "clean_output": true,
828
+ "slot_presence": 1.0,
829
+ "raw_reply": "<INTENT:GET_ACTIVE_MINUTES> You' ve got <ACTIVE_MINUTES_TODAY> active minutes so far , with a goal of <ACTIVE_MINUTES_GOAL>.",
830
+ "display_reply": "You' ve got <ACTIVE_MINUTES_TODAY> active minutes so far , with a goal of <ACTIVE_MINUTES_GOAL>."
831
+ },
832
+ {
833
+ "case_id": "set_active_goal_can_you_raise_my_daily_active_minutes_go_13",
834
+ "prompt": "Can you raise my daily active minutes goal to 45 minutes?",
835
+ "expected_intent": "SET_ACTIVE_GOAL",
836
+ "predicted_intent": "SET_ACTIVE_GOAL",
837
+ "intent_correct": true,
838
+ "has_intent_tag": true,
839
+ "clean_output": true,
840
+ "slot_presence": 1.0,
841
+ "raw_reply": "<INTENT:SET_ACTIVE_GOAL> Done — your daily active minutes goal is now <ACTIVE_MINUTES_GOAL>.",
842
+ "display_reply": "Done — your daily active minutes goal is now <ACTIVE_MINUTES_GOAL>."
843
+ },
844
+ {
845
+ "case_id": "enable_power_save_battery_s_low_turn_on_power_saving_now_14",
846
+ "prompt": "Battery's low — turn on power saving now.",
847
+ "expected_intent": "ENABLE_POWER_SAVE",
848
+ "predicted_intent": "ENABLE_POWER_SAVE",
849
+ "intent_correct": true,
850
+ "has_intent_tag": true,
851
+ "clean_output": true,
852
+ "slot_presence": 1.0,
853
+ "raw_reply": "<INTENT:ENABLE_POWER_SAVE> Power saving is on . Battery is at <BATTERY_PCT>, so I'll dim the screen , limit background sync , and reduce sensor use .",
854
+ "display_reply": "Power saving is on . Battery is at <BATTERY_PCT>, so I'll dim the screen , limit background sync , and reduce sensor use ."
855
+ },
856
+ {
857
+ "case_id": "disable_aod_please_turn_off_the_always_on_display_to_15",
858
+ "prompt": "Please turn off the always-on display to save battery.",
859
+ "expected_intent": "DISABLE_AOD",
860
+ "predicted_intent": "DISABLE_AOD",
861
+ "intent_correct": true,
862
+ "has_intent_tag": true,
863
+ "clean_output": true,
864
+ "slot_presence": 1.0,
865
+ "raw_reply": "<INTENT:DISABLE_AOD> Done — always - on display is off , and your battery is at <BATTERY_PCT>.",
866
+ "display_reply": "Done — always - on display is off , and your battery is at <BATTERY_PCT>."
867
+ },
868
+ {
869
+ "case_id": "set_alarm_i_need_an_alarm_for_tomorrow_morning_to_16",
870
+ "prompt": "I need an alarm for tomorrow morning to make sure I wake up for my run.",
871
+ "expected_intent": "SET_ALARM",
872
+ "predicted_intent": "SET_ALARM",
873
+ "intent_correct": true,
874
+ "has_intent_tag": true,
875
+ "clean_output": true,
876
+ "slot_presence": 1.0,
877
+ "raw_reply": "<INTENT:SET_ALARM> Got it — I set an alarm for <ALARM_TIME> on <DATE> with the label <ALARM_LABEL>.",
878
+ "display_reply": "Got it — I set an alarm for <ALARM_TIME> on <DATE> with the label <ALARM_LABEL>."
879
+ },
880
+ {
881
+ "case_id": "list_alarms_quick_check_what_alarms_are_set_on_my_wa_17",
882
+ "prompt": "Quick check — what alarms are set on my watch?",
883
+ "expected_intent": "LIST_ALARMS",
884
+ "predicted_intent": "LIST_ALARMS",
885
+ "intent_correct": true,
886
+ "has_intent_tag": true,
887
+ "clean_output": true,
888
+ "slot_presence": 1.0,
889
+ "raw_reply": "<INTENT:LIST_ALARMS> Here are your active alarms : <ALARM_TIME> — <ALARM_LABEL>; <ALARM_TIME> — <ALARM_LABEL>; <ALARM_TIME>",
890
+ "display_reply": "Here are your active alarms : <ALARM_TIME> — <ALARM_LABEL>; <ALARM_TIME> — <ALARM_LABEL>; <ALARM_TIME>"
891
+ },
892
+ {
893
+ "case_id": "delete_alarm_please_delete_my_standard_morning_wake_u_18",
894
+ "prompt": "Please delete my standard morning wake-up alarm.",
895
+ "expected_intent": "DELETE_ALARM",
896
+ "predicted_intent": "DELETE_ALARM",
897
+ "intent_correct": true,
898
+ "has_intent_tag": true,
899
+ "clean_output": true,
900
+ "slot_presence": 1.0,
901
+ "raw_reply": "<INTENT:DELETE_ALARM> Got it — I deleted <ALARM_LABEL>.",
902
+ "display_reply": "Got it — I deleted <ALARM_LABEL>."
903
+ },
904
+ {
905
+ "case_id": "explain_nudge_hey_why_did_my_watch_just_vibrate_19",
906
+ "prompt": "hey, why did my watch just vibrate?",
907
+ "expected_intent": "EXPLAIN_NUDGE",
908
+ "predicted_intent": "EXPLAIN_NUDGE",
909
+ "intent_correct": true,
910
+ "has_intent_tag": true,
911
+ "clean_output": true,
912
+ "slot_presence": 1.0,
913
+ "raw_reply": "<INTENT:EXPLAIN_NUDGE> It looks like a sedentary move nudge for <NUDGE_REASON> — you' ve been still for <DURATION>, so it' s reminding you to get up and",
914
+ "display_reply": "It looks like a sedentary move nudge for <NUDGE_REASON> — you' ve been still for <DURATION>, so it' s reminding you to get up and"
915
+ },
916
+ {
917
+ "case_id": "mute_reminders_i_m_getting_hourly_move_reminders_mute_t_20",
918
+ "prompt": "I'm getting hourly move reminders — mute them entirely, please.",
919
+ "expected_intent": "MUTE_REMINDERS",
920
+ "predicted_intent": "MUTE_REMINDERS",
921
+ "intent_correct": true,
922
+ "has_intent_tag": true,
923
+ "clean_output": true,
924
+ "slot_presence": 1.0,
925
+ "raw_reply": "<INTENT:MUTE_REMINDERS> Got it — I' ve muted the hourly move reminders on your watch .",
926
+ "display_reply": "Got it — I' ve muted the hourly move reminders on your watch ."
927
+ },
928
+ {
929
+ "case_id": "snooze_alarm_ugh_it_s_buzzing_snooze_this_alarm_for_a_21",
930
+ "prompt": "Ugh, it's buzzing — snooze this alarm for a few minutes.",
931
+ "expected_intent": "SNOOZE_ALARM",
932
+ "predicted_intent": "SNOOZE_ALARM",
933
+ "intent_correct": true,
934
+ "has_intent_tag": true,
935
+ "clean_output": true,
936
+ "slot_presence": 1.0,
937
+ "raw_reply": "<INTENT:SNOOZE_ALARM> Got it — snoozing <ALARM_LABEL> set for <ALARM_TIME> for <DURATION>. I'll buzz you again then .",
938
+ "display_reply": "Got it — snoozing <ALARM_LABEL> set for <ALARM_TIME> for <DURATION>. I'll buzz you again then ."
939
+ },
940
+ {
941
+ "case_id": "set_reminder_i_keep_forgetting_to_drink_water_can_you_22",
942
+ "prompt": "I keep forgetting to drink water — can you set a repeating reminder every two hours to drink water, please?",
943
+ "expected_intent": "SET_REMINDER",
944
+ "predicted_intent": "SET_REMINDER",
945
+ "intent_correct": true,
946
+ "has_intent_tag": true,
947
+ "clean_output": true,
948
+ "slot_presence": 1.0,
949
+ "raw_reply": "<INTENT:SET_REMINDER> Got it — I' ll set a repeating reminder for <ALARM_LABEL> every <REMINDER_INTERVAL>.",
950
+ "display_reply": "Got it — I' ll set a repeating reminder for <ALARM_LABEL> every <REMINDER_INTERVAL>."
951
+ },
952
+ {
953
+ "case_id": "start_timer_start_a_twenty_minute_timer_23",
954
+ "prompt": "Start a twenty-minute timer.",
955
+ "expected_intent": "START_TIMER",
956
+ "predicted_intent": "START_TIMER",
957
+ "intent_correct": true,
958
+ "has_intent_tag": true,
959
+ "clean_output": true,
960
+ "slot_presence": 1.0,
961
+ "raw_reply": "<INTENT:START_TIMER> Got it — starting a timer for <DURATION>.",
962
+ "display_reply": "Got it — starting a timer for <DURATION>."
963
+ },
964
+ {
965
+ "case_id": "get_timer_remaining_how_much_time_is_left_on_the_cooking_tim_24",
966
+ "prompt": "How much time is left on the cooking timer? I'm juggling a few things here.",
967
+ "expected_intent": "GET_TIMER_REMAINING",
968
+ "predicted_intent": "GET_TIMER_REMAINING",
969
+ "intent_correct": true,
970
+ "has_intent_tag": true,
971
+ "clean_output": true,
972
+ "slot_presence": 1.0,
973
+ "raw_reply": "<INTENT:GET_TIMER_REMAINING> The timer has <TIMER_REMAINING> remaining out of the <DURATION>.",
974
+ "display_reply": "The timer has <TIMER_REMAINING> remaining out of the <DURATION>."
975
+ },
976
+ {
977
+ "case_id": "pause_timer_pause_the_countdown_now_freeze_it_25",
978
+ "prompt": "Pause the countdown now — freeze it.",
979
+ "expected_intent": "PAUSE_TIMER",
980
+ "predicted_intent": "PAUSE_TIMER",
981
+ "intent_correct": true,
982
+ "has_intent_tag": true,
983
+ "clean_output": true,
984
+ "slot_presence": 1.0,
985
+ "raw_reply": "<INTENT:PAUSE_TIMER> Paused your timer — <TIMER_REMAINING> remaining of the <DURATION>. I'll keep it frozen until you say resume .",
986
+ "display_reply": "Paused your timer — <TIMER_REMAINING> remaining of the <DURATION>. I'll keep it frozen until you say resume ."
987
+ },
988
+ {
989
+ "case_id": "start_stopwatch_start_the_stopwatch_app_and_begin_timing_26",
990
+ "prompt": "Start the stopwatch app and begin timing.",
991
+ "expected_intent": "START_STOPWATCH",
992
+ "predicted_intent": "START_STOPWATCH",
993
+ "intent_correct": true,
994
+ "has_intent_tag": true,
995
+ "clean_output": true,
996
+ "slot_presence": 1.0,
997
+ "raw_reply": "<INTENT:START_STOPWATCH> Stopwatch started — I'll record time on your wrist . Tap to lap or say \" stop \" to stop .",
998
+ "display_reply": "Stopwatch started — I'll record time on your wrist . Tap to lap or say \" stop \" to stop ."
999
+ },
1000
+ {
1001
+ "case_id": "lap_stopwatch_mark_a_lap_split_27",
1002
+ "prompt": "Mark a lap split.",
1003
+ "expected_intent": "LAP_STOPWATCH",
1004
+ "predicted_intent": "LAP_STOPWATCH",
1005
+ "intent_correct": true,
1006
+ "has_intent_tag": true,
1007
+ "clean_output": true,
1008
+ "slot_presence": 1.0,
1009
+ "raw_reply": "<INTENT:LAP_STOPWATCH> Got it — lap recorded at <LAP_TIME>, with the run at <DURATION>.",
1010
+ "display_reply": "Got it — lap recorded at <LAP_TIME>, with the run at <DURATION>."
1011
+ },
1012
+ {
1013
+ "case_id": "reset_stopwatch_hey_reset_my_stopwatch_and_clear_its_lap_28",
1014
+ "prompt": "Hey, reset my stopwatch and clear its laps please.",
1015
+ "expected_intent": "RESET_STOPWATCH",
1016
+ "predicted_intent": "RESET_STOPWATCH",
1017
+ "intent_correct": true,
1018
+ "has_intent_tag": true,
1019
+ "clean_output": true,
1020
+ "slot_presence": 1.0,
1021
+ "raw_reply": "<INTENT:RESET_STOPWATCH> Stopwatch reset to <DURATION>, and the last lap is cleared from <LAP_TIME>.",
1022
+ "display_reply": "Stopwatch reset to <DURATION>, and the last lap is cleared from <LAP_TIME>."
1023
+ },
1024
+ {
1025
+ "case_id": "cancel_timer_stop_and_clear_my_running_timer_please_29",
1026
+ "prompt": "Stop and clear my running timer, please.",
1027
+ "expected_intent": "CANCEL_TIMER",
1028
+ "predicted_intent": "CANCEL_TIMER",
1029
+ "intent_correct": true,
1030
+ "has_intent_tag": true,
1031
+ "clean_output": true,
1032
+ "slot_presence": 0.5,
1033
+ "raw_reply": "<INTENT:CANCEL_TIMER> Got it — I canceled the timer with <TIMER_REMAINING> left and cleared it out .",
1034
+ "display_reply": "Got it — I canceled the timer with <TIMER_REMAINING> left and cleared it out ."
1035
+ },
1036
+ {
1037
+ "case_id": "start_workout_i_m_heading_out_for_an_outdoor_walk_star_30",
1038
+ "prompt": "I'm heading out for an outdoor walk — start tracking, please.",
1039
+ "expected_intent": "START_WORKOUT",
1040
+ "predicted_intent": "START_WORKOUT",
1041
+ "intent_correct": true,
1042
+ "has_intent_tag": true,
1043
+ "clean_output": true,
1044
+ "slot_presence": 1.0,
1045
+ "raw_reply": "<INTENT:START_WORKOUT> Got it — starting <WORKOUT_TYPE> now . Enjoy the walk .",
1046
+ "display_reply": "Got it — starting <WORKOUT_TYPE> now . Enjoy the walk ."
1047
+ },
1048
+ {
1049
+ "case_id": "stop_workout_i_m_done_with_my_run_stop_tracking_and_s_31",
1050
+ "prompt": "I'm done with my run — stop tracking and save the session.",
1051
+ "expected_intent": "STOP_WORKOUT",
1052
+ "predicted_intent": "STOP_WORKOUT",
1053
+ "intent_correct": true,
1054
+ "has_intent_tag": true,
1055
+ "clean_output": true,
1056
+ "slot_presence": 1.0,
1057
+ "raw_reply": "<INTENT:STOP_WORKOUT> Got it , I stopped your <WORKOUT_TYPE> and saved the session at <WORKOUT_ELAPSED>. Nice work today .",
1058
+ "display_reply": "Got it , I stopped your <WORKOUT_TYPE> and saved the session at <WORKOUT_ELAPSED>. Nice work today ."
1059
+ },
1060
+ {
1061
+ "case_id": "pause_workout_traffic_light_pause_my_workout_while_i_w_32",
1062
+ "prompt": "Traffic light—pause my workout while I wait?",
1063
+ "expected_intent": "PAUSE_WORKOUT",
1064
+ "predicted_intent": "PAUSE_WORKOUT",
1065
+ "intent_correct": true,
1066
+ "has_intent_tag": true,
1067
+ "clean_output": true,
1068
+ "slot_presence": 1.0,
1069
+ "raw_reply": "<INTENT:PAUSE_WORKOUT> Pausing your workout now . You've been active for <WORKOUT_ELAPSED>. Current state : <WORKOUT_STATE>. I'll keep it paused until you resume .",
1070
+ "display_reply": "Pausing your workout now . You've been active for <WORKOUT_ELAPSED>. Current state : <WORKOUT_STATE>. I'll keep it paused until you resume ."
1071
+ },
1072
+ {
1073
+ "case_id": "resume_workout_hey_resume_my_cycling_workout_from_earli_33",
1074
+ "prompt": "hey, resume my cycling workout from earlier",
1075
+ "expected_intent": "RESUME_WORKOUT",
1076
+ "predicted_intent": "RESUME_WORKOUT",
1077
+ "intent_correct": true,
1078
+ "has_intent_tag": true,
1079
+ "clean_output": true,
1080
+ "slot_presence": 1.0,
1081
+ "raw_reply": "<INTENT:RESUME_WORKOUT> Resuming your <WORKOUT_TYPE> workout . You' re back in <WORKOUT_STATE>, with <WORKOUT_ELAPSED> already logged .",
1082
+ "display_reply": "Resuming your <WORKOUT_TYPE> workout . You' re back in <WORKOUT_STATE>, with <WORKOUT_ELAPSED> already logged ."
1083
+ },
1084
+ {
1085
+ "case_id": "discard_workout_delete_the_current_run_and_erase_its_dat_34",
1086
+ "prompt": "Delete the current run and erase its data.",
1087
+ "expected_intent": "DISCARD_WORKOUT",
1088
+ "predicted_intent": "DISCARD_WORKOUT",
1089
+ "intent_correct": true,
1090
+ "has_intent_tag": true,
1091
+ "clean_output": true,
1092
+ "slot_presence": 1.0,
1093
+ "raw_reply": "<INTENT:DISCARD_WORKOUT> Got it — I' ll discard the <WORKOUT_TYPE> while it' s <WORKOUT_STATE>.",
1094
+ "display_reply": "Got it — I' ll discard the <WORKOUT_TYPE> while it' s <WORKOUT_STATE>."
1095
+ },
1096
+ {
1097
+ "case_id": "get_workout_summary_just_finished_a_walk_show_the_final_summ_35",
1098
+ "prompt": "Just finished a walk — show the final summary screen.",
1099
+ "expected_intent": "GET_WORKOUT_SUMMARY",
1100
+ "predicted_intent": "GET_WORKOUT_SUMMARY",
1101
+ "intent_correct": true,
1102
+ "has_intent_tag": true,
1103
+ "clean_output": true,
1104
+ "slot_presence": 1.0,
1105
+ "raw_reply": "<INTENT:GET_WORKOUT_SUMMARY> Here' s your <WORKOUT_TYPE> summary : <WORKOUT_ELAPSED> elapsed and <DISTANCE_TODAY> covered today .",
1106
+ "display_reply": "Here' s your <WORKOUT_TYPE> summary : <WORKOUT_ELAPSED> elapsed and <DISTANCE_TODAY> covered today ."
1107
+ },
1108
+ {
1109
+ "case_id": "get_steps_how_many_steps_have_i_taken_today_36",
1110
+ "prompt": "How many steps have I taken today?",
1111
+ "expected_intent": "GET_STEPS",
1112
+ "predicted_intent": "GET_STEPS",
1113
+ "intent_correct": true,
1114
+ "has_intent_tag": true,
1115
+ "clean_output": true,
1116
+ "slot_presence": 1.0,
1117
+ "raw_reply": "<INTENT:GET_STEPS> You' re at <STEPS_TODAY> of <STEP_GOAL> so far .",
1118
+ "display_reply": "You' re at <STEPS_TODAY> of <STEP_GOAL> so far ."
1119
+ },
1120
+ {
1121
+ "case_id": "start_timer_start_a_10_minute_timer_37",
1122
+ "prompt": "Start a 10 minute timer",
1123
+ "expected_intent": "START_TIMER",
1124
+ "predicted_intent": "START_TIMER",
1125
+ "intent_correct": true,
1126
+ "has_intent_tag": true,
1127
+ "clean_output": true,
1128
+ "slot_presence": 1.0,
1129
+ "raw_reply": "<INTENT:START_TIMER> Got it — starting a timer for <DURATION>.",
1130
+ "display_reply": "Got it — starting a timer for <DURATION>."
1131
+ },
1132
+ {
1133
+ "case_id": "none_hey_38",
1134
+ "prompt": "hey",
1135
+ "expected_intent": "NONE",
1136
+ "predicted_intent": "NONE",
1137
+ "intent_correct": true,
1138
+ "has_intent_tag": true,
1139
+ "clean_output": true,
1140
+ "slot_presence": 1.0,
1141
+ "raw_reply": "<INTENT:NONE> hi there — I'm listening .",
1142
+ "display_reply": "hi there — I'm listening ."
1143
+ }
1144
+ ],
1145
+ "elapsed_sec": 31.05121770000551,
1146
+ "per_intent": {
1147
+ "CANCEL_TIMER": {
1148
+ "correct": 1,
1149
+ "total": 1,
1150
+ "accuracy": 1.0
1151
+ },
1152
+ "DELETE_ALARM": {
1153
+ "correct": 1,
1154
+ "total": 1,
1155
+ "accuracy": 1.0
1156
+ },
1157
+ "DISABLE_AOD": {
1158
+ "correct": 1,
1159
+ "total": 1,
1160
+ "accuracy": 1.0
1161
+ },
1162
+ "DISCARD_WORKOUT": {
1163
+ "correct": 1,
1164
+ "total": 1,
1165
+ "accuracy": 1.0
1166
+ },
1167
+ "ENABLE_POWER_SAVE": {
1168
+ "correct": 1,
1169
+ "total": 1,
1170
+ "accuracy": 1.0
1171
+ },
1172
+ "EXPLAIN_NUDGE": {
1173
+ "correct": 1,
1174
+ "total": 1,
1175
+ "accuracy": 1.0
1176
+ },
1177
+ "GET_ACTIVE_MINUTES": {
1178
+ "correct": 1,
1179
+ "total": 1,
1180
+ "accuracy": 1.0
1181
+ },
1182
+ "GET_BATTERY": {
1183
+ "correct": 1,
1184
+ "total": 1,
1185
+ "accuracy": 1.0
1186
+ },
1187
+ "GET_CALORIES": {
1188
+ "correct": 1,
1189
+ "total": 1,
1190
+ "accuracy": 1.0
1191
+ },
1192
+ "GET_DISTANCE": {
1193
+ "correct": 1,
1194
+ "total": 1,
1195
+ "accuracy": 1.0
1196
+ },
1197
+ "GET_HEART_RATE": {
1198
+ "correct": 1,
1199
+ "total": 1,
1200
+ "accuracy": 1.0
1201
+ },
1202
+ "GET_SLEEP": {
1203
+ "correct": 1,
1204
+ "total": 1,
1205
+ "accuracy": 1.0
1206
+ },
1207
+ "GET_STEPS": {
1208
+ "correct": 2,
1209
+ "total": 2,
1210
+ "accuracy": 1.0
1211
+ },
1212
+ "GET_TIMER_REMAINING": {
1213
+ "correct": 1,
1214
+ "total": 1,
1215
+ "accuracy": 1.0
1216
+ },
1217
+ "GET_WORKOUT_STATUS": {
1218
+ "correct": 1,
1219
+ "total": 1,
1220
+ "accuracy": 1.0
1221
+ },
1222
+ "GET_WORKOUT_SUMMARY": {
1223
+ "correct": 1,
1224
+ "total": 1,
1225
+ "accuracy": 1.0
1226
+ },
1227
+ "LAP_STOPWATCH": {
1228
+ "correct": 1,
1229
+ "total": 1,
1230
+ "accuracy": 1.0
1231
+ },
1232
+ "LIST_ALARMS": {
1233
+ "correct": 1,
1234
+ "total": 1,
1235
+ "accuracy": 1.0
1236
+ },
1237
+ "LOG_NAP": {
1238
+ "correct": 1,
1239
+ "total": 1,
1240
+ "accuracy": 1.0
1241
+ },
1242
+ "MEASURE_HEART_RATE": {
1243
+ "correct": 1,
1244
+ "total": 1,
1245
+ "accuracy": 1.0
1246
+ },
1247
+ "MUTE_REMINDERS": {
1248
+ "correct": 1,
1249
+ "total": 1,
1250
+ "accuracy": 1.0
1251
+ },
1252
+ "NONE": {
1253
+ "correct": 2,
1254
+ "total": 2,
1255
+ "accuracy": 1.0
1256
+ },
1257
+ "PAUSE_TIMER": {
1258
+ "correct": 1,
1259
+ "total": 1,
1260
+ "accuracy": 1.0
1261
+ },
1262
+ "PAUSE_WORKOUT": {
1263
+ "correct": 1,
1264
+ "total": 1,
1265
+ "accuracy": 1.0
1266
+ },
1267
+ "RESET_STOPWATCH": {
1268
+ "correct": 1,
1269
+ "total": 1,
1270
+ "accuracy": 1.0
1271
+ },
1272
+ "RESUME_WORKOUT": {
1273
+ "correct": 1,
1274
+ "total": 1,
1275
+ "accuracy": 1.0
1276
+ },
1277
+ "SET_ACTIVE_GOAL": {
1278
+ "correct": 1,
1279
+ "total": 1,
1280
+ "accuracy": 1.0
1281
+ },
1282
+ "SET_ALARM": {
1283
+ "correct": 1,
1284
+ "total": 1,
1285
+ "accuracy": 1.0
1286
+ },
1287
+ "SET_CALORIE_GOAL": {
1288
+ "correct": 1,
1289
+ "total": 1,
1290
+ "accuracy": 1.0
1291
+ },
1292
+ "SET_REMINDER": {
1293
+ "correct": 1,
1294
+ "total": 1,
1295
+ "accuracy": 1.0
1296
+ },
1297
+ "SET_STEP_GOAL": {
1298
+ "correct": 1,
1299
+ "total": 1,
1300
+ "accuracy": 1.0
1301
+ },
1302
+ "SNOOZE_ALARM": {
1303
+ "correct": 1,
1304
+ "total": 1,
1305
+ "accuracy": 1.0
1306
+ },
1307
+ "START_STOPWATCH": {
1308
+ "correct": 1,
1309
+ "total": 1,
1310
+ "accuracy": 1.0
1311
+ },
1312
+ "START_TIMER": {
1313
+ "correct": 2,
1314
+ "total": 2,
1315
+ "accuracy": 1.0
1316
+ },
1317
+ "START_WORKOUT": {
1318
+ "correct": 1,
1319
+ "total": 1,
1320
+ "accuracy": 1.0
1321
+ },
1322
+ "STOP_WORKOUT": {
1323
+ "correct": 1,
1324
+ "total": 1,
1325
+ "accuracy": 1.0
1326
+ }
1327
+ }
1328
+ }
1329
+ ],
1330
+ "comparison": {
1331
+ "only_a": [],
1332
+ "only_b": [
1333
+ "get_steps_hey_am_i_doing_okay_with_steps_today_or_01",
1334
+ "get_workout_status_how_long_have_i_been_on_my_run_and_what_03",
1335
+ "get_battery_quick_question_is_my_battery_high_enough_05",
1336
+ "measure_heart_rate_please_take_my_pulse_now_i_feel_a_little_07",
1337
+ "set_calorie_goal_lower_my_daily_active_calorie_burn_targe_11",
1338
+ "list_alarms_quick_check_what_alarms_are_set_on_my_wa_17",
1339
+ "mute_reminders_i_m_getting_hourly_move_reminders_mute_t_20",
1340
+ "get_timer_remaining_how_much_time_is_left_on_the_cooking_tim_24",
1341
+ "cancel_timer_stop_and_clear_my_running_timer_please_29",
1342
+ "pause_workout_traffic_light_pause_my_workout_while_i_w_32",
1343
+ "discard_workout_delete_the_current_run_and_erase_its_dat_34"
1344
+ ],
1345
+ "both_fail": []
1346
+ }
1347
+ }
chat.py ADDED
@@ -0,0 +1,127 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Interactive chat with the exported Smartwatch LM.
3
+
4
+ Usage:
5
+ pip install torch tokenizers
6
+ python chat.py
7
+ """
8
+
9
+ from __future__ import annotations
10
+
11
+ import re
12
+ import sys
13
+ from pathlib import Path
14
+
15
+ import torch
16
+
17
+ import config as cfg
18
+ from model import load_model
19
+ from reply_utils import build_prompt, extract_bot_reply_from_continuation, extract_intent_reply
20
+
21
+
22
+ class ChatSession:
23
+ def __init__(
24
+ self,
25
+ checkpoint_path: Path | None = None,
26
+ tokenizer_path: Path | None = None,
27
+ device: str | None = None,
28
+ max_new_tokens: int | None = None,
29
+ temperature: float | None = None,
30
+ top_k: int | None = None,
31
+ ):
32
+ self.model, self.tokenizer, self.device = load_model(
33
+ checkpoint_path, tokenizer_path, device
34
+ )
35
+ self.max_new_tokens = max_new_tokens or cfg.SAMPLE_MAX_NEW_TOKENS
36
+ self.temperature = temperature if temperature is not None else cfg.SAMPLE_TEMPERATURE
37
+ self.top_k = top_k if top_k is not None else cfg.SAMPLE_TOP_K
38
+ self.history: list[tuple[str, str]] = []
39
+
40
+ def reset(self) -> None:
41
+ self.history.clear()
42
+
43
+ @torch.no_grad()
44
+ def say(self, user_message: str) -> str:
45
+ user_message = user_message.strip()
46
+ if not user_message:
47
+ return ""
48
+
49
+ prompt = build_prompt(self.history, user_message)
50
+ start_ids = self.tokenizer.encode(prompt).ids
51
+ x = torch.tensor([start_ids], dtype=torch.long, device=self.device)
52
+ y = self.model.generate(
53
+ x,
54
+ max_new_tokens=self.max_new_tokens,
55
+ temperature=self.temperature,
56
+ top_k=self.top_k,
57
+ )
58
+ new_ids = y[0, len(start_ids) :].tolist()
59
+ continuation = self.tokenizer.decode(new_ids)
60
+ reply = extract_bot_reply_from_continuation(continuation)
61
+ self.history.append((user_message, reply))
62
+ return reply
63
+
64
+ def say_display(self, user_message: str) -> tuple[str, str, str]:
65
+ """Return (raw_reply, intent, display_text)."""
66
+ raw = self.say(user_message)
67
+ parsed = extract_intent_reply(raw)
68
+ return raw, parsed.intent, parsed.template
69
+
70
+
71
+ def print_banner() -> None:
72
+ print("Smartwatch LM chat — type a message and press Enter.")
73
+ print("Commands: quit/exit | reset (clear history) | history")
74
+ print("-" * 60)
75
+
76
+
77
+ def run_repl() -> None:
78
+ try:
79
+ session = ChatSession()
80
+ except FileNotFoundError as exc:
81
+ print(exc, file=sys.stderr)
82
+ sys.exit(1)
83
+
84
+ val_loss = None
85
+ ckpt_path = cfg.OUTPUT_DIR / "checkpoint.pt"
86
+ if ckpt_path.is_file():
87
+ checkpoint = torch.load(ckpt_path, map_location="cpu", weights_only=False)
88
+ val_loss = checkpoint.get("best_val_loss")
89
+
90
+ print_banner()
91
+ print(f"device: {session.device}")
92
+ if val_loss is not None:
93
+ print(f"checkpoint val loss: {val_loss:.4f}")
94
+ print()
95
+
96
+ while True:
97
+ try:
98
+ user_input = input("you> ").strip()
99
+ except (EOFError, KeyboardInterrupt):
100
+ print("\nbye")
101
+ break
102
+
103
+ if not user_input:
104
+ continue
105
+ lowered = user_input.lower()
106
+ if lowered in {"quit", "exit"}:
107
+ print("bye")
108
+ break
109
+ if lowered == "reset":
110
+ session.reset()
111
+ print("(history cleared)")
112
+ continue
113
+ if lowered == "history":
114
+ if not session.history:
115
+ print("(empty)")
116
+ for user_text, bot_text in session.history:
117
+ print(f"user: {user_text}\nbot: {bot_text}\n")
118
+ continue
119
+
120
+ _, intent, display = session.say_display(user_input)
121
+ print(f"bot> {display}")
122
+ if intent and intent != "NONE":
123
+ print(f" intent: {intent}")
124
+
125
+
126
+ if __name__ == "__main__":
127
+ run_repl()
checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac7d9d1a4688dd528c436bdc4e26e7b7d1b3a666310a4ced972acfe7f29e2c38
3
+ size 52996277
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_type": "smartwatch_lm",
3
+ "vocab_size": 5533,
4
+ "n_layer": 6,
5
+ "n_head": 6,
6
+ "n_embd": 384,
7
+ "block_size": 256,
8
+ "dropout": 0.15,
9
+ "bias": false,
10
+ "onnx_input_names": [
11
+ "input_ids"
12
+ ],
13
+ "onnx_output_names": [
14
+ "logits"
15
+ ],
16
+ "onnx_opset": 17,
17
+ "onnx_file": "smartwatch_lm_merged.onnx",
18
+ "best_val_loss": 0.32432237863540647,
19
+ "data_files": [
20
+ "/content/tinydata.txt",
21
+ "/content/deepdata.txt",
22
+ "/content/tinydata1.txt",
23
+ "/content/data1.txt",
24
+ "/content/data3.txt"
25
+ ]
26
+ }
config.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ """Generation defaults for the exported smartwatch LM."""
2
+
3
+ from pathlib import Path
4
+
5
+ OUTPUT_DIR = Path(__file__).parent
6
+
7
+ SAMPLE_MAX_NEW_TOKENS = 120
8
+ SAMPLE_TEMPERATURE = 0.8
9
+ SAMPLE_TOP_K = 40
docs/avoiding-gibberish.md ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Avoiding Gibberish — Output Cleanup Guide
2
+
3
+ Smartwatch LM v0.1 is a **12M-parameter** domain model. It outputs structured replies with intent tags and slot placeholders. Raw tokenizer decode can still contain **BPE artifacts**, **encoding glitches**, or **run-on text**. This guide lists what to strip, how to truncate, and includes copy-paste scripts in this repo.
4
+
5
+ **Scripts in this repo:**
6
+
7
+ | File | Purpose |
8
+ |------|---------|
9
+ | [`reply_utils.py`](../reply_utils.py) | `clean_reply`, `extract_bot_reply`, `extract_intent_reply`, `fill_slots` |
10
+ | [`onnx_sample.py`](../onnx_sample.py) | Full ONNX generate + cleanup pipeline |
11
+ | [`chat.py`](../chat.py) | PyTorch REPL using the same helpers |
12
+
13
+ ---
14
+
15
+ ## Why gibberish appears
16
+
17
+ | Cause | Example | Fix |
18
+ |-------|---------|-----|
19
+ | BPE space marker left in decode | `ĠYou'reĠat` | Replace `Ġ` → space |
20
+ | BPE newline marker | `line oneĊline two` | Replace `Ċ` → newline |
21
+ | UTF-8 mojibake | `âĢĶ` instead of `—` | Replace known bad sequences |
22
+ | Model keeps generating | Fake next turn `\nuser: …` | Truncate at `\nuser:` |
23
+ | Model rambling | Multiple paragraphs | Take first line only |
24
+ | Broken intent tags | `< INTENT : GET_STEPS >` | Collapse spaces inside `<…>` |
25
+ | Hallucinated metrics | `8432 steps` | Use `<STEPS_TODAY>` slots instead (training constraint) |
26
+
27
+ ---
28
+
29
+ ## Special characters to remove or replace
30
+
31
+ Apply these **in order** after every `tokenizer.decode()`:
32
+
33
+ ### 1. BPE artifacts (always)
34
+
35
+ | Character | Unicode | Replace with |
36
+ |-----------|---------|--------------|
37
+ | `Ġ` | U+0120 | space (` `) |
38
+ | `Ċ` | U+010A | newline (`\n`) |
39
+
40
+ ### 2. Mojibake sequences (when present)
41
+
42
+ | Bad sequence | Replace with |
43
+ |--------------|--------------|
44
+ | `âĢĶ` | `—` (em dash) |
45
+ | `âĢĻ` | `'` |
46
+ | `âĢĺ` | `'` |
47
+ | `’` | `'` |
48
+ | `–` | `—` |
49
+
50
+ ### 3. Whitespace normalization
51
+
52
+ | Pattern | Action |
53
+ |---------|--------|
54
+ | Two or more spaces | Collapse to one space |
55
+ | Space before apostrophe (` '`) | Remove the space → `'` |
56
+ | Spaces inside angle brackets | Remove: `< STEP_GOAL >` → `<STEP_GOAL>` |
57
+
58
+ ### 4. Do **not** remove
59
+
60
+ Keep these — they are part of the protocol:
61
+
62
+ - `<INTENT:NAME>` tags
63
+ - `<SLOT_NAME>` placeholders (filled by your app before display)
64
+ - Normal punctuation: `. , ! ? ' —`
65
+
66
+ ---
67
+
68
+ ## Truncation rules (stop run-on output)
69
+
70
+ After cleaning characters, cut the reply to **one bot utterance**:
71
+
72
+ 1. If `\nuser:` appears → discard everything from that point onward (model started a fake user turn).
73
+ 2. If `\n\n` appears → keep only the text before the blank line.
74
+ 3. Keep only the **first line** (everything before the first `\n`).
75
+
76
+ These rules are implemented in `extract_bot_reply()` in [`reply_utils.py`](../reply_utils.py).
77
+
78
+ ---
79
+
80
+ ## Generation settings that reduce gibberish
81
+
82
+ Use conservative sampling — this model is small (12M params):
83
+
84
+ | Parameter | Recommended | Effect |
85
+ |-----------|-------------|--------|
86
+ | `temperature` | **0.5** (max 0.8) | Less random word choice |
87
+ | `top_k` | **40** | Ignore unlikely tail tokens |
88
+ | `max_new_tokens` | **40** | Stop before rambling |
89
+ | `block_size` | **256** | Match model context; trim older history |
90
+ | EOS token id | **0** | Stop generating after EOS (skip first 2 steps) |
91
+
92
+ Store **unfilled** bot lines in history (`<STEPS_TODAY>` not `4,231`). Filled numbers in history confuse the model.
93
+
94
+ ---
95
+
96
+ ## Prompt format
97
+
98
+ ```
99
+ user: How many steps today?
100
+ bot: <INTENT:GET_STEPS> You're at <STEPS_TODAY> of <STEP_GOAL> — keep going!
101
+ user: thanks
102
+ bot:
103
+ ```
104
+
105
+ Build with `build_prompt()` from [`reply_utils.py`](../reply_utils.py). The model continues after the final `bot:`.
106
+
107
+ ---
108
+
109
+ ## Sample: clean text only (no model)
110
+
111
+ ```bash
112
+ python reply_utils.py
113
+ ```
114
+
115
+ ```python
116
+ from reply_utils import clean_reply, extract_intent_reply, fill_slots
117
+
118
+ messy = "Ġ<INTENT:GET_STEPS>ĠYou'reĠatĠ<STEPS_TODAY>ĠâĢĶĠnice!\nuser: more"
119
+
120
+ parsed = extract_intent_reply(messy)
121
+ display = fill_slots(parsed.template, {"STEPS_TODAY": "4,231"})
122
+
123
+ print(parsed.intent) # GET_STEPS
124
+ print(display) # You're at 4,231 — nice!
125
+ ```
126
+
127
+ ---
128
+
129
+ ## Sample: PyTorch chat with cleanup
130
+
131
+ ```bash
132
+ pip install torch tokenizers
133
+ python chat.py
134
+ ```
135
+
136
+ ```python
137
+ from chat import ChatSession
138
+
139
+ bot = ChatSession(temperature=0.5, max_new_tokens=40, top_k=40)
140
+ print(bot.say("How many steps today?"))
141
+ ```
142
+
143
+ ---
144
+
145
+ ## Sample: ONNX with cleanup
146
+
147
+ ```bash
148
+ pip install numpy onnxruntime tokenizers
149
+ python onnx_sample.py "How many steps today?"
150
+ ```
151
+
152
+ Pipeline inside `onnx_sample.py`:
153
+
154
+ ```
155
+ build_prompt → encode → ONNX loop (top-k, temp 0.5) → decode new tokens only
156
+ → extract_bot_reply → extract_intent_reply → fill_slots → print
157
+ ```
158
+
159
+ ---
160
+
161
+ ## Full runtime checklist
162
+
163
+ ```
164
+ 1. build_prompt(history with raw unfilled bot lines, user_message)
165
+ 2. encode → generate (temp 0.5, top_k 40, max 40, EOS stop)
166
+ 3. decode ONLY new token ids (not the full prompt)
167
+ 4. clean_reply → extract_bot_reply → extract_intent_reply
168
+ 5. fill_slots(template, sensor_map) → show / speak
169
+ 6. append (user_message, raw_bot_line) to history
170
+ ```
171
+
172
+ **Do not:**
173
+
174
+ - Show raw `Ġ` or mojibake to the user
175
+ - Put real sensor numbers back into conversation history
176
+ - Skip truncation at `\nuser:` or first newline
177
+ - Run temperature above 0.8 on this 12M model
178
+
179
+ **Do:**
180
+
181
+ - Run `clean_reply` on every decode path
182
+ - Validate intent names against your handler allowlist
183
+ - Trim history when approaching 256 tokens
184
+
185
+ ---
186
+
187
+ ## Related docs
188
+
189
+ - [Intent reference](./intent-reference.md) — all 35 intents and slots
190
+ - [Smartwatch integration](./smartwatch-integration.md) — device wiring
docs/intent-reference.md ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Wrist Wearable Assistant — Intent Reference
2
+
3
+ This document lists every intent the on-device model can emit. Your app parses these tags and runs the matching handler.
4
+
5
+ ## How intents work
6
+
7
+ Bot lines in training data and at runtime use this format:
8
+
9
+ ```
10
+ bot: <INTENT:GET_STEPS> You're at <STEPS_TODAY> of <STEP_GOAL> — keep going!
11
+ ```
12
+
13
+ | Part | Role |
14
+ |------|------|
15
+ | `<INTENT:NAME>` | Tells the app **what to do** (fetch steps, start timer, etc.) |
16
+ | `<SLOT>` placeholders | Names **which values** the app injects from sensors/settings |
17
+ | Text after the tag | What the user **sees or hears** on the watch |
18
+
19
+ The model never outputs real metric values — only intents and slot tokens. Your runtime replaces slots with live data.
20
+
21
+ `NONE` is used when the bot only acknowledges or chats with no device action.
22
+
23
+ ---
24
+
25
+ ## Steps
26
+
27
+ | Intent | What it does | Typical slots |
28
+ |--------|--------------|---------------|
29
+ | `GET_STEPS` | Read step metrics from the pedometer: today’s count, goals, streaks, week/month totals, comparisons. | `<STEPS_TODAY>`, `<STEPS_YESTERDAY>`, `<STEP_GOAL>`, `<STEPS_REMAINING>`, `<STEP_GOAL_PCT>`, `<STEP_STREAK_DAYS>`, `<STEPS_WEEK_TOTAL>`, `<STEPS_LAST_WEEK_TOTAL>`, `<STEPS_MONTH_TOTAL>`, `<TIME>`, `<DATE>`, `<PERCENT>` |
30
+ | `SET_STEP_GOAL` | Change the user’s daily step target. | `<STEP_GOAL>` |
31
+
32
+ ---
33
+
34
+ ## Distance
35
+
36
+ | Intent | What it does | Typical slots |
37
+ |--------|--------------|---------------|
38
+ | `GET_DISTANCE` | Read distance metrics: today’s total, last session, units, weekly progress, lifetime mileage, hourly average. | `<DISTANCE_TODAY>`, `<DISTANCE_LAST_SESSION>`, `<DISTANCE_UNIT>`, `<DISTANCE_WEEK_REMAINING>`, `<DISTANCE_WEEK_BEST>`, `<DISTANCE_LIFETIME>`, `<DISTANCE_HOURLY_AVG>`, `<TIME>`, `<DATE>` |
39
+
40
+ ---
41
+
42
+ ## Heart rate
43
+
44
+ | Intent | What it does | Typical slots |
45
+ |--------|--------------|---------------|
46
+ | `GET_HEART_RATE` | Read heart rate data: current BPM, resting rate, overnight low, session average, daily peak, elevated minutes, effort zone. | `<HR_CURRENT_BPM>`, `<HR_RESTING_BPM>`, `<HR_RESTING_OVERNIGHT_LOW>`, `<HR_AVG_SESSION>`, `<HR_PEAK_TODAY>`, `<HR_ELEVATED_MINUTES>`, `<HR_ZONE>`, `<DURATION>` |
47
+ | `MEASURE_HEART_RATE` | Trigger a live on-demand pulse reading from the optical sensor. | `<HR_CURRENT_BPM>` |
48
+
49
+ ---
50
+
51
+ ## Sleep
52
+
53
+ | Intent | What it does | Typical slots |
54
+ |--------|--------------|---------------|
55
+ | `GET_SLEEP` | Read sleep data: duration last night, sleep/wake times, weekly average, awake minutes, goal gap, weekend total. | `<SLEEP_HOURS_LAST_NIGHT>`, `<SLEEP_START_TIME>`, `<SLEEP_WAKE_TIME>`, `<SLEEP_AVG_WEEK>`, `<SLEEP_AWAKE_MINUTES>`, `<SLEEP_GOAL_HOURS>`, `<SLEEP_WEEKEND_TOTAL>`, `<DATE>`, `<DURATION>` |
56
+ | `LOG_NAP` | Record or confirm a short nap session. | `<DURATION>`, `<SLEEP_HOURS_LAST_NIGHT>`, `<TIME>` |
57
+
58
+ ---
59
+
60
+ ## Calories
61
+
62
+ | Intent | What it does | Typical slots |
63
+ |--------|--------------|---------------|
64
+ | `GET_CALORIES` | Read calorie burn: daily total, active burn, remaining to goal, yesterday comparison, per-mile estimate. | `<CALORIES_TODAY>`, `<CALORIES_ACTIVE>`, `<CALORIES_REMAINING>`, `<CALORIE_GOAL>`, `<CALORIE_GOAL_PCT>`, `<CALORIES_YESTERDAY>`, `<CALORIES_PER_MILE>`, `<DISTANCE_UNIT>`, `<DURATION>` |
65
+ | `SET_CALORIE_GOAL` | Change the user’s daily active calorie burn target. | `<CALORIE_GOAL>` |
66
+
67
+ ---
68
+
69
+ ## Active minutes
70
+
71
+ | Intent | What it does | Typical slots |
72
+ |--------|--------------|---------------|
73
+ | `GET_ACTIVE_MINUTES` | Read movement time: today’s active minutes, remaining to goal, weekly total, most active day. | `<ACTIVE_MINUTES_TODAY>`, `<ACTIVE_MINUTES_REMAINING>`, `<ACTIVE_MINUTES_GOAL>`, `<ACTIVE_MINUTES_WEEK>`, `<MOST_ACTIVE_DAY>`, `<DURATION>`, `<TIME>`, `<DATE>` |
74
+ | `SET_ACTIVE_GOAL` | Change the user’s daily active minutes target. | `<ACTIVE_MINUTES_GOAL>` |
75
+
76
+ ---
77
+
78
+ ## Battery
79
+
80
+ | Intent | What it does | Typical slots |
81
+ |--------|--------------|---------------|
82
+ | `GET_BATTERY` | Read power state: percentage, estimated days left, days since charge, charge complete status. | `<BATTERY_PCT>`, `<BATTERY_DAYS_LEFT>`, `<DAYS_SINCE_CHARGE>`, `<CHARGE_COMPLETE>`, `<DURATION>`, `<DATE>` |
83
+ | `ENABLE_POWER_SAVE` | Turn on low-power / battery saver mode on the device. | `<BATTERY_PCT>` |
84
+ | `DISABLE_AOD` | Turn off always-on display to reduce power draw. | `<BATTERY_PCT>` |
85
+
86
+ ---
87
+
88
+ ## Alarms and reminders
89
+
90
+ | Intent | What it does | Typical slots |
91
+ |--------|--------------|---------------|
92
+ | `SET_ALARM` | Create or update a wake alarm at a given time. | `<ALARM_TIME>`, `<ALARM_LABEL>`, `<DATE>`, `<TIME>` |
93
+ | `LIST_ALARMS` | Show all alarms currently stored on the device. | `<ALARM_TIME>`, `<ALARM_LABEL>` |
94
+ | `DELETE_ALARM` | Remove one or all alarms. | `<ALARM_LABEL>`, `<ALARM_TIME>` |
95
+ | `SNOOZE_ALARM` | Snooze the currently firing alarm for a short period. | `<ALARM_TIME>`, `<DURATION>`, `<ALARM_LABEL>` |
96
+ | `SET_REMINDER` | Schedule a recurring reminder (water, bedtime wind-down, move prompts). | `<ALARM_TIME>`, `<ALARM_LABEL>`, `<REMINDER_INTERVAL>`, `<TIME>` |
97
+ | `MUTE_REMINDERS` | Disable hourly move reminders or similar nudges. | *(none)* |
98
+ | `EXPLAIN_NUDGE` | Explain why the watch just vibrated (e.g. sedentary move nudge). | `<NUDGE_REASON>`, `<DURATION>`, `<TIME>` |
99
+
100
+ ---
101
+
102
+ ## Timers and stopwatch
103
+
104
+ | Intent | What it does | Typical slots |
105
+ |--------|--------------|---------------|
106
+ | `START_TIMER` | Start a countdown timer (cooking, stretch, etc.). | `<DURATION>`, `<TIME>` |
107
+ | `PAUSE_TIMER` | Pause an active countdown. | `<TIMER_REMAINING>`, `<DURATION>` |
108
+ | `CANCEL_TIMER` | Stop and clear a running timer. | `<TIMER_REMAINING>`, `<DURATION>` |
109
+ | `GET_TIMER_REMAINING` | Report time left on a timer or whether it has finished. | `<TIMER_REMAINING>`, `<DURATION>` |
110
+ | `START_STOPWATCH` | Open or start the stopwatch app. | *(none)* |
111
+ | `LAP_STOPWATCH` | Record a lap split on the stopwatch. | `<LAP_TIME>`, `<DURATION>` |
112
+ | `RESET_STOPWATCH` | Reset stopwatch to zero. | `<DURATION>`, `<LAP_TIME>` |
113
+
114
+ ---
115
+
116
+ ## Workout toggles
117
+
118
+ | Intent | What it does | Typical slots |
119
+ |--------|--------------|---------------|
120
+ | `START_WORKOUT` | Begin tracking a workout (walk, run, cycle, indoor cardio). | `<WORKOUT_TYPE>` |
121
+ | `PAUSE_WORKOUT` | Pause the active workout session. | `<WORKOUT_ELAPSED>`, `<WORKOUT_STATE>`, `<WORKOUT_TYPE>` |
122
+ | `RESUME_WORKOUT` | Resume a paused workout. | `<WORKOUT_ELAPSED>`, `<WORKOUT_STATE>`, `<WORKOUT_TYPE>` |
123
+ | `STOP_WORKOUT` | End the workout and save the session. | `<WORKOUT_ELAPSED>`, `<WORKOUT_TYPE>`, `<WORKOUT_STATE>` |
124
+ | `DISCARD_WORKOUT` | End the workout without saving data. | `<WORKOUT_TYPE>`, `<WORKOUT_STATE>` |
125
+ | `GET_WORKOUT_STATUS` | Check if a workout is running, paused, or left on by mistake; report elapsed time. | `<WORKOUT_ELAPSED>`, `<WORKOUT_STATE>`, `<WORKOUT_TYPE>` |
126
+ | `GET_WORKOUT_SUMMARY` | Show the post-workout summary screen (duration, distance, calories, HR). | `<WORKOUT_TYPE>`, `<WORKOUT_ELAPSED>`, `<DISTANCE_TODAY>`, `<DISTANCE_UNIT>`, `<CALORIES_ACTIVE>`, `<HR_AVG_SESSION>` |
127
+
128
+ ---
129
+
130
+ ## Non-action
131
+
132
+ | Intent | What it does | Typical slots |
133
+ |--------|--------------|---------------|
134
+ | `NONE` | Pure conversational reply — thanks, encouragement, clarification — with no sensor fetch or device command. | *(none)* |
135
+
136
+ ---
137
+
138
+ ## Summary
139
+
140
+ | Category | Intents | Count |
141
+ |----------|---------|------:|
142
+ | Steps | `GET_STEPS`, `SET_STEP_GOAL` | 2 |
143
+ | Distance | `GET_DISTANCE` | 1 |
144
+ | Heart rate | `GET_HEART_RATE`, `MEASURE_HEART_RATE` | 2 |
145
+ | Sleep | `GET_SLEEP`, `LOG_NAP` | 2 |
146
+ | Calories | `GET_CALORIES`, `SET_CALORIE_GOAL` | 2 |
147
+ | Active minutes | `GET_ACTIVE_MINUTES`, `SET_ACTIVE_GOAL` | 2 |
148
+ | Battery | `GET_BATTERY`, `ENABLE_POWER_SAVE`, `DISABLE_AOD` | 3 |
149
+ | Alarms / reminders | `SET_ALARM`, `LIST_ALARMS`, `DELETE_ALARM`, `SNOOZE_ALARM`, `SET_REMINDER`, `MUTE_REMINDERS`, `EXPLAIN_NUDGE` | 7 |
150
+ | Timers / stopwatch | `START_TIMER`, `PAUSE_TIMER`, `CANCEL_TIMER`, `GET_TIMER_REMAINING`, `START_STOPWATCH`, `LAP_STOPWATCH`, `RESET_STOPWATCH` | 7 |
151
+ | Workout | `START_WORKOUT`, `PAUSE_WORKOUT`, `RESUME_WORKOUT`, `STOP_WORKOUT`, `DISCARD_WORKOUT`, `GET_WORKOUT_STATUS`, `GET_WORKOUT_SUMMARY` | 7 |
152
+ | Non-action | `NONE` | 1 |
153
+ | **Total** | | **35** |
154
+
155
+ ---
156
+
157
+ Each wearable product may implement only a subset of these intents depending on hardware and firmware.
docs/smartwatch-integration.md ADDED
@@ -0,0 +1,195 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Smartwatch Integration Guide
2
+
3
+ How to run **Smartwatch LM v0.1** on a wrist device and wire it to sensors, timers, and apps.
4
+
5
+ The model is a **12M-parameter** GPT exported as ONNX. It does not execute device actions itself — it emits **intent tags** and **slot placeholders** that your firmware parses and handles.
6
+
7
+ ---
8
+
9
+ ## What you ship
10
+
11
+ | File | Size (approx.) | Purpose |
12
+ |------|----------------|---------|
13
+ | `smartwatch_lm_merged.onnx` | ~52 MB | ONNX Runtime inference |
14
+ | `tokenizer.json` | ~200 KB | Text ↔ token ids |
15
+ | `tokenizer_config.json` | small | Tokenizer metadata |
16
+ | `config.json` | small | Architecture and I/O names |
17
+ | `reply_utils.py` | small | Cleanup, intent parse, slot fill |
18
+ | `onnx_sample.py` | small | Reference ONNX generate loop |
19
+
20
+ Optional on PC: `checkpoint.pt`, `chat.py`, `model.py` for PyTorch chat and fine-tuning.
21
+
22
+ **ONNX I/O:**
23
+
24
+ - Input: `input_ids` — int64, shape `[batch, seq]`, max seq **256**
25
+ - Output: `logits` — float, shape `[batch, seq, vocab_size]` (vocab **3524**)
26
+
27
+ Sample the **last position** logits autoregressively until EOS or max tokens.
28
+
29
+ ---
30
+
31
+ ## Architecture
32
+
33
+ ```
34
+ User input (touch / voice-to-text)
35
+ → build_prompt()
36
+ → tokenizer.encode()
37
+ → ONNX generate loop
38
+ → tokenizer.decode (new tokens only)
39
+ → reply_utils.clean + extract_intent_reply
40
+ → intent router → sensor handlers
41
+ → fill_slots() → display / TTS
42
+ ```
43
+
44
+ | Component | Role |
45
+ |-----------|------|
46
+ | LM | Intent + reply template with `<SLOT>` tokens |
47
+ | Router | Map `<INTENT:NAME>` to a handler |
48
+ | Handlers | Read/write device state |
49
+ | Slot map | Live values for `<STEPS_TODAY>`, `<BATTERY_PCT>`, etc. |
50
+
51
+ See [Intent reference](./intent-reference.md) for all 35 intents.
52
+
53
+ ---
54
+
55
+ ## Step 1 — Inference runtime
56
+
57
+ | Platform | Runtime |
58
+ |----------|---------|
59
+ | Wear OS | ONNX Runtime Mobile (NNAPI / XNNPACK) |
60
+ | watchOS | ORT Mobile or Core ML (consider INT8 quant) |
61
+ | Companion phone | ORT on phone, BLE to watch for display |
62
+ | Prototype | `python onnx_sample.py` on desktop |
63
+
64
+ Budget ~52 MB weights + activations. Quantization or phone-side inference helps on tight RAM.
65
+
66
+ ---
67
+
68
+ ## Step 2 — Generation loop
69
+
70
+ Recommended settings (see [Avoiding gibberish](./avoiding-gibberish.md)):
71
+
72
+ ```text
73
+ temperature = 0.5
74
+ top_k = 40
75
+ max_new_tokens = 40
76
+ block_size = 256
77
+ eos_token_id = 0
78
+ ```
79
+
80
+ Reference implementations:
81
+
82
+ - ONNX: [`onnx_sample.py`](../onnx_sample.py)
83
+ - PyTorch: [`model.py`](../model.py) `GPT.generate()` + [`chat.py`](../chat.py)
84
+
85
+ ---
86
+
87
+ ## Step 3 — Prompt and history
88
+
89
+ ```
90
+ user: How many steps today?
91
+ bot: <INTENT:GET_STEPS> You're at <STEPS_TODAY> of <STEP_GOAL> — keep going!
92
+ user: Set a 10 minute timer
93
+ bot:
94
+ ```
95
+
96
+ Use `build_prompt()` from [`reply_utils.py`](../reply_utils.py).
97
+
98
+ - History stores **raw** bot lines with unfilled slots
99
+ - Never store display text with real numbers in history
100
+ - Drop oldest turns when encoded length nears 256 tokens
101
+
102
+ ---
103
+
104
+ ## Step 4 — Cleanup and slots
105
+
106
+ Always run the cleanup pipeline from [`reply_utils.py`](../reply_utils.py):
107
+
108
+ 1. `extract_bot_reply(prompt, generated)` — one line, no fake `\nuser:` tail
109
+ 2. `extract_intent_reply(raw)` → intent + template
110
+ 3. `fill_slots(template, slot_map)` → user-visible string
111
+
112
+ Example slot map:
113
+
114
+ ```python
115
+ {
116
+ "STEPS_TODAY": "4,231",
117
+ "STEP_GOAL": "10,000",
118
+ "STEPS_REMAINING": "5,769",
119
+ "BATTERY_PCT": "67%",
120
+ "TIME": "2:15 PM",
121
+ }
122
+ ```
123
+
124
+ Character cleanup (`Ġ`, mojibake, etc.) is documented in [Avoiding gibberish](./avoiding-gibberish.md).
125
+
126
+ ---
127
+
128
+ ## Step 5 — Intent router
129
+
130
+ ```python
131
+ from reply_utils import fill_slots
132
+
133
+ def dispatch(intent: str, template: str, slots: dict[str, str]) -> str:
134
+ filled = fill_slots(template, slots)
135
+ if intent == "GET_STEPS":
136
+ refresh_step_cache(slots)
137
+ elif intent == "START_TIMER":
138
+ timer.start(slots.get("DURATION", "5 minutes"))
139
+ elif intent == "NONE":
140
+ pass
141
+ else:
142
+ log.warning("unsupported intent: %s", intent)
143
+ return filled
144
+ ```
145
+
146
+ Validate intents against your allowlist before side effects.
147
+
148
+ ---
149
+
150
+ ## Example trace
151
+
152
+ **User:** “How many steps to hit my goal?”
153
+
154
+ 1. Prompt ends with `bot:`
155
+ 2. Model raw output: `<INTENT:GET_STEPS> You need <STEPS_REMAINING> more to reach <STEP_GOAL>.`
156
+ 3. Handler refreshes step slots from pedometer
157
+ 4. Display: `You need 5,769 more to reach 10,000.`
158
+ 5. History stores unfilled raw bot line
159
+
160
+ ---
161
+
162
+ ## Testing on desktop
163
+
164
+ ```bash
165
+ pip install torch tokenizers
166
+ python chat.py
167
+ ```
168
+
169
+ ```bash
170
+ pip install numpy onnxruntime tokenizers
171
+ python onnx_sample.py "How many steps today?"
172
+ ```
173
+
174
+ ```bash
175
+ python reply_utils.py # cleanup demo, no model
176
+ ```
177
+
178
+ ---
179
+
180
+ ## Production checklist
181
+
182
+ - [ ] `smartwatch_lm_merged.onnx` + `tokenizer.json` bundled or downloaded once
183
+ - [ ] Generation: temp 0.5, top_k 40, max 40 tokens
184
+ - [ ] `reply_utils` cleanup on every decode path
185
+ - [ ] History uses unfilled slot templates only
186
+ - [ ] Intent allowlist matches implemented handlers
187
+ - [ ] Slot map from real sensors before `fill_slots`
188
+ - [ ] Fallback when parse fails or intent is unknown
189
+
190
+ ---
191
+
192
+ ## Related docs
193
+
194
+ - [Avoiding gibberish](./avoiding-gibberish.md) — special characters, truncation, sample scripts
195
+ - [Intent reference](./intent-reference.md) — all intents and slots
model.py ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """GPT model definition and checkpoint loading for exported smartwatch LM."""
2
+
3
+ from __future__ import annotations
4
+
5
+ import math
6
+ from pathlib import Path
7
+
8
+ import torch
9
+ import torch.nn as nn
10
+ import torch.nn.functional as F
11
+ from tokenizers import Tokenizer
12
+
13
+ import config as cfg
14
+
15
+
16
+ class CausalSelfAttention(nn.Module):
17
+ def __init__(self, n_head: int, n_embd: int, block_size: int, dropout: float, bias: bool):
18
+ super().__init__()
19
+ assert n_embd % n_head == 0
20
+ self.n_head = n_head
21
+ self.n_embd = n_embd
22
+ self.head_dim = n_embd // n_head
23
+ self.c_attn = nn.Linear(n_embd, 3 * n_embd, bias=bias)
24
+ self.c_proj = nn.Linear(n_embd, n_embd, bias=bias)
25
+ self.attn_dropout = nn.Dropout(dropout)
26
+ self.resid_dropout = nn.Dropout(dropout)
27
+ self.register_buffer(
28
+ "bias",
29
+ torch.tril(torch.ones(block_size, block_size)).view(1, 1, block_size, block_size),
30
+ )
31
+
32
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
33
+ b, t, c = x.size()
34
+ q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
35
+ k = k.view(b, t, self.n_head, self.head_dim).transpose(1, 2)
36
+ q = q.view(b, t, self.n_head, self.head_dim).transpose(1, 2)
37
+ v = v.view(b, t, self.n_head, self.head_dim).transpose(1, 2)
38
+ att = (q @ k.transpose(-2, -1)) * (1.0 / math.sqrt(self.head_dim))
39
+ att = att.masked_fill(self.bias[:, :, :t, :t] == 0, float("-inf"))
40
+ att = F.softmax(att, dim=-1)
41
+ att = self.attn_dropout(att)
42
+ y = att @ v
43
+ y = y.transpose(1, 2).contiguous().view(b, t, c)
44
+ return self.resid_dropout(self.c_proj(y))
45
+
46
+
47
+ class MLP(nn.Module):
48
+ def __init__(self, n_embd: int, dropout: float, bias: bool):
49
+ super().__init__()
50
+ self.c_fc = nn.Linear(n_embd, 4 * n_embd, bias=bias)
51
+ self.gelu = nn.GELU()
52
+ self.c_proj = nn.Linear(4 * n_embd, n_embd, bias=bias)
53
+ self.dropout = nn.Dropout(dropout)
54
+
55
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
56
+ return self.dropout(self.c_proj(self.gelu(self.c_fc(x))))
57
+
58
+
59
+ class Block(nn.Module):
60
+ def __init__(self, n_head: int, n_embd: int, block_size: int, dropout: float, bias: bool):
61
+ super().__init__()
62
+ self.ln1 = nn.LayerNorm(n_embd)
63
+ self.attn = CausalSelfAttention(n_head, n_embd, block_size, dropout, bias)
64
+ self.ln2 = nn.LayerNorm(n_embd)
65
+ self.mlp = MLP(n_embd, dropout, bias)
66
+
67
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
68
+ x = x + self.attn(self.ln1(x))
69
+ x = x + self.mlp(self.ln2(x))
70
+ return x
71
+
72
+
73
+ class GPT(nn.Module):
74
+ def __init__(
75
+ self,
76
+ vocab_size: int,
77
+ n_layer: int,
78
+ n_head: int,
79
+ n_embd: int,
80
+ block_size: int,
81
+ dropout: float,
82
+ bias: bool,
83
+ ):
84
+ super().__init__()
85
+ self.block_size = block_size
86
+ self.transformer = nn.ModuleDict(
87
+ {
88
+ "wte": nn.Embedding(vocab_size, n_embd),
89
+ "wpe": nn.Embedding(block_size, n_embd),
90
+ "drop": nn.Dropout(dropout),
91
+ "h": nn.ModuleList(
92
+ [Block(n_head, n_embd, block_size, dropout, bias) for _ in range(n_layer)]
93
+ ),
94
+ "ln_f": nn.LayerNorm(n_embd),
95
+ }
96
+ )
97
+ self.lm_head = nn.Linear(n_embd, vocab_size, bias=False)
98
+ self.transformer.wte.weight = self.lm_head.weight
99
+ self.apply(self._init_weights)
100
+
101
+ def _init_weights(self, module: nn.Module) -> None:
102
+ if isinstance(module, nn.Linear):
103
+ torch.nn.init.normal_(module.weight, mean=0.0, std=0.02)
104
+ if module.bias is not None:
105
+ torch.nn.init.zeros_(module.bias)
106
+ elif isinstance(module, nn.Embedding):
107
+ torch.nn.init.normal_(module.weight, mean=0.0, std=0.02)
108
+
109
+ def forward(self, idx: torch.Tensor, targets=None):
110
+ b, t = idx.size()
111
+ assert t <= self.block_size
112
+ pos = torch.arange(0, t, dtype=torch.long, device=idx.device)
113
+ x = self.transformer.drop(
114
+ self.transformer.wte(idx) + self.transformer.wpe(pos)
115
+ )
116
+ for block in self.transformer.h:
117
+ x = block(x)
118
+ x = self.transformer.ln_f(x)
119
+ logits = self.lm_head(x)
120
+ loss = None
121
+ if targets is not None:
122
+ loss = F.cross_entropy(logits.view(-1, logits.size(-1)), targets.view(-1))
123
+ return logits, loss
124
+
125
+ @torch.no_grad()
126
+ def generate(self, idx: torch.Tensor, max_new_tokens: int, temperature: float = 1.0, top_k=None):
127
+ for _ in range(max_new_tokens):
128
+ idx_cond = idx[:, -self.block_size :]
129
+ logits, _ = self(idx_cond)
130
+ logits = logits[:, -1, :] / max(temperature, 1e-8)
131
+ if top_k is not None:
132
+ v, _ = torch.topk(logits, min(top_k, logits.size(-1)))
133
+ logits[logits < v[:, [-1]]] = -float("Inf")
134
+ probs = F.softmax(logits, dim=-1)
135
+ idx_next = torch.multinomial(probs, num_samples=1)
136
+ idx = torch.cat((idx, idx_next), dim=1)
137
+ return idx
138
+
139
+
140
+ def resolve_checkpoint_paths(
141
+ checkpoint_path: Path | None = None,
142
+ tokenizer_path: Path | None = None,
143
+ ) -> tuple[Path, Path]:
144
+ ckpt = checkpoint_path or cfg.OUTPUT_DIR / "checkpoint.pt"
145
+ tok = tokenizer_path or cfg.OUTPUT_DIR / "tokenizer.json"
146
+ if not ckpt.is_file():
147
+ raise FileNotFoundError(
148
+ f"Checkpoint not found at {ckpt}. Train first, then run collab-run-2/export_model.py."
149
+ )
150
+ if not tok.is_file():
151
+ raise FileNotFoundError(
152
+ f"Tokenizer not found at {tok}. Train first, then run collab-run-2/export_model.py."
153
+ )
154
+ return ckpt, tok
155
+
156
+
157
+ def load_model(
158
+ checkpoint_path: Path | None = None,
159
+ tokenizer_path: Path | None = None,
160
+ device: str | None = None,
161
+ ) -> tuple[GPT, Tokenizer, str]:
162
+ ckpt_path, tok_path = resolve_checkpoint_paths(checkpoint_path, tokenizer_path)
163
+ dev = device or ("cuda" if torch.cuda.is_available() else "cpu")
164
+
165
+ tokenizer = Tokenizer.from_file(str(tok_path))
166
+ checkpoint = torch.load(ckpt_path, map_location=dev, weights_only=False)
167
+ model_config = checkpoint["model_config"]
168
+
169
+ model = GPT(
170
+ vocab_size=model_config["vocab_size"],
171
+ n_layer=model_config["n_layer"],
172
+ n_head=model_config["n_head"],
173
+ n_embd=model_config["n_embd"],
174
+ block_size=model_config["block_size"],
175
+ dropout=model_config["dropout"],
176
+ bias=model_config["bias"],
177
+ )
178
+ model.load_state_dict(checkpoint["model_state_dict"])
179
+ model.to(dev)
180
+ model.eval()
181
+
182
+ return model, tokenizer, dev
onnx_sample.py ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Minimal ONNX inference sample for the exported Smartwatch LM.
3
+
4
+ Requirements:
5
+ pip install numpy onnxruntime tokenizers
6
+
7
+ Usage:
8
+ python onnx_sample.py "How many steps today?"
9
+ """
10
+
11
+ from __future__ import annotations
12
+
13
+ import argparse
14
+ import sys
15
+ from pathlib import Path
16
+
17
+ import numpy as np
18
+ import onnxruntime as ort
19
+ from tokenizers import Tokenizer
20
+
21
+ from reply_utils import build_prompt, process_model_output
22
+
23
+ MODEL_DIR = Path(__file__).parent
24
+ ONNX_PATH = MODEL_DIR / "smartwatch_lm_merged.onnx"
25
+ TOKENIZER_PATH = MODEL_DIR / "tokenizer.json"
26
+
27
+ BLOCK_SIZE = 256
28
+ MAX_NEW_TOKENS = 40
29
+ TEMPERATURE = 0.5
30
+ TOP_K = 40
31
+ EOS_TOKEN_ID = 0
32
+
33
+
34
+ def sample_next_token(logits: np.ndarray, temperature: float, top_k: int) -> int:
35
+ scaled = logits / max(temperature, 1e-8)
36
+ scaled = scaled - scaled.max()
37
+ probs = np.exp(scaled)
38
+ probs /= probs.sum()
39
+ k = min(top_k, probs.size)
40
+ top_idx = np.argpartition(probs, -k)[-k:]
41
+ top_probs = probs[top_idx]
42
+ top_probs /= top_probs.sum()
43
+ return int(np.random.choice(top_idx, p=top_probs))
44
+
45
+
46
+ def generate(session: ort.InferenceSession, tokenizer: Tokenizer, prompt: str) -> str:
47
+ ids = tokenizer.encode(prompt).ids
48
+ prompt_len = len(ids)
49
+
50
+ for step in range(MAX_NEW_TOKENS):
51
+ seq = ids[-BLOCK_SIZE:]
52
+ x = np.array([seq], dtype=np.int64)
53
+ logits = session.run(None, {"input_ids": x})[0]
54
+ next_logits = logits[0, -1, :]
55
+ next_id = sample_next_token(next_logits, TEMPERATURE, TOP_K)
56
+ ids.append(next_id)
57
+ if step > 2 and next_id == EOS_TOKEN_ID:
58
+ break
59
+
60
+ return tokenizer.decode(ids[prompt_len:])
61
+
62
+
63
+ def main() -> None:
64
+ parser = argparse.ArgumentParser(description="ONNX chat sample")
65
+ parser.add_argument("message", nargs="?", default="How many steps today?")
66
+ args = parser.parse_args()
67
+
68
+ if not ONNX_PATH.is_file():
69
+ print(f"Missing {ONNX_PATH.name}", file=sys.stderr)
70
+ sys.exit(1)
71
+ if not TOKENIZER_PATH.is_file():
72
+ print(f"Missing {TOKENIZER_PATH.name}", file=sys.stderr)
73
+ sys.exit(1)
74
+
75
+ session = ort.InferenceSession(str(ONNX_PATH), providers=["CPUExecutionProvider"])
76
+ tokenizer = Tokenizer.from_file(str(TOKENIZER_PATH))
77
+
78
+ prompt = build_prompt([], args.message)
79
+ continuation = generate(session, tokenizer, prompt)
80
+
81
+ slot_data = {
82
+ "STEPS_TODAY": "4,231",
83
+ "STEP_GOAL": "10,000",
84
+ "STEPS_REMAINING": "5,769",
85
+ }
86
+ raw, parsed, display = process_model_output(prompt, continuation, slot_data)
87
+
88
+ print(f"user> {args.message}")
89
+ print(f"raw> {raw}")
90
+ print(f"intent> {parsed.intent}")
91
+ print(f"bot> {display}")
92
+
93
+
94
+ if __name__ == "__main__":
95
+ main()
reply_utils.py ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Post-processing for Smartwatch LM chat replies (BPE gibberish removal).
3
+
4
+ Use after tokenizer.decode() — same logic is embedded in colab_all_in_one.py.
5
+ """
6
+
7
+ from __future__ import annotations
8
+
9
+ import re
10
+ from dataclasses import dataclass
11
+
12
+ _BPE_SPACE = "\u0120" # Ġ
13
+ _BPE_NEWLINE = "\u010a" # Ċ
14
+
15
+ _MOJIBAKE_REPLACEMENTS: tuple[tuple[str, str], ...] = (
16
+ ("âĢĶ", "—"),
17
+ ("âĢĻ", "'"),
18
+ ("âĢĺ", "'"),
19
+ ("’", "'"),
20
+ ("–", "—"),
21
+ )
22
+
23
+
24
+ def build_prompt(history: list[tuple[str, str]], user_message: str) -> str:
25
+ lines: list[str] = []
26
+ for user_text, bot_text in history:
27
+ lines.append(f"user: {user_text}")
28
+ lines.append(f"bot: {bot_text}")
29
+ lines.append(f"user: {user_message}")
30
+ lines.append("bot:")
31
+ return "\n".join(lines)
32
+
33
+
34
+ def _compact_tag(match: re.Match[str]) -> str:
35
+ inner = re.sub(r"\s+", "", match.group(1))
36
+ return f"<{inner}>"
37
+
38
+
39
+ def clean_reply(text: str) -> str:
40
+ """Remove ByteLevel BPE artifacts (Ġ Ċ) and fix broken punctuation."""
41
+ out = text.replace(_BPE_SPACE, " ").replace(_BPE_NEWLINE, "\n")
42
+ for bad, good in _MOJIBAKE_REPLACEMENTS:
43
+ out = out.replace(bad, good)
44
+ out = re.sub(r" +", " ", out)
45
+ out = re.sub(r"<\s*([^>]+?)\s*>", _compact_tag, out)
46
+ return out.replace(" '", "'").strip()
47
+
48
+
49
+ def _first_bot_line(text: str) -> str:
50
+ """Keep only the first bot utterance; drop hallucinated user turns."""
51
+ text = clean_reply(text.lstrip())
52
+ if re.match(r"^\s*user\s*:", text, re.IGNORECASE):
53
+ match = re.search(r"bot\s*:\s*(.+)", text, re.IGNORECASE | re.DOTALL)
54
+ if match:
55
+ text = match.group(1)
56
+ else:
57
+ return ""
58
+ text = re.sub(r"^\s*bot\s*:\s*", "", text, count=1, flags=re.IGNORECASE)
59
+ text = re.split(r"\n\s*user\s*:", text, maxsplit=1, flags=re.IGNORECASE)[0]
60
+ if "\n\n" in text:
61
+ text = text.split("\n\n", 1)[0]
62
+ return clean_reply(text.split("\n", 1)[0].strip())
63
+
64
+
65
+ def extract_bot_reply(prompt: str, generated: str) -> str:
66
+ """Strip prompt prefix and return one cleaned bot line."""
67
+ marker = prompt.rstrip() + " "
68
+ if generated.startswith(marker):
69
+ reply = generated[len(marker) :]
70
+ elif re.search(r"bot\s*:", generated, re.IGNORECASE):
71
+ reply = re.split(r"bot\s*:", generated, maxsplit=0, flags=re.IGNORECASE)[-1]
72
+ else:
73
+ reply = generated
74
+ return _first_bot_line(reply)
75
+
76
+
77
+ def extract_bot_reply_from_continuation(continuation: str) -> str:
78
+ """Decode only new tokens, then extract the first bot line."""
79
+ return _first_bot_line(continuation)
80
+
81
+
82
+ @dataclass
83
+ class ParsedReply:
84
+ intent: str
85
+ template: str
86
+
87
+
88
+ def extract_intent_reply(text: str) -> ParsedReply:
89
+ cleaned = clean_reply(text)
90
+ match = re.search(r"<\s*INTENT\s*:[^>]+>", cleaned, re.IGNORECASE)
91
+ if not match:
92
+ first = cleaned.split("\n", 1)[0].strip()
93
+ return ParsedReply(intent="NONE", template=first or cleaned)
94
+
95
+ rest = cleaned[match.start() :]
96
+ rest = re.split(r"\nuser\s*:", rest, maxsplit=1, flags=re.IGNORECASE)[0]
97
+ line = rest.split("\n", 1)[0].strip()
98
+
99
+ intent_match = re.match(r"^<INTENT:([A-Z_]+)>\s*(.*)", line, re.IGNORECASE | re.DOTALL)
100
+ if intent_match:
101
+ return ParsedReply(intent=intent_match.group(1), template=intent_match.group(2).strip())
102
+ return ParsedReply(intent="NONE", template=line)
103
+
104
+
105
+ def fill_slots(text: str, data: dict[str, str]) -> str:
106
+ return re.sub(
107
+ r"<([A-Z_]+)>",
108
+ lambda m: data.get(m.group(1), m.group(0)),
109
+ text,
110
+ )
111
+
112
+
113
+ def process_model_output(
114
+ prompt: str,
115
+ generated: str,
116
+ slot_data: dict[str, str] | None = None,
117
+ ) -> tuple[str, ParsedReply, str]:
118
+ """Raw continuation -> cleaned bot line -> intent parse -> slot-filled display."""
119
+ raw = extract_bot_reply_from_continuation(generated)
120
+ if not raw:
121
+ raw = extract_bot_reply(prompt, generated)
122
+ parsed = extract_intent_reply(raw)
123
+ display = fill_slots(parsed.template, slot_data or {})
124
+ return raw, parsed, display
smartwatch_lm_merged.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "tokenizer_class": "PreTrainedTokenizerFast",
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+ "model_max_length": 256
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+ }