Datasets:
JEV Turkish Tool Call Traces
Traces of Jev (jev-1.13.0, TypeSafe System One) answering
Turkish tool-selection questions from a Turkish tool-calling benchmark.
For each user turn the conversation transcript is the state, and the model answers one
choice question: which tool should the assistant call next (or no_tool).
The shared set of candidate tools lives in meta/criteria.json.
Columns (train)
| column | description |
|---|---|
index |
row order (0-based) |
id / turn_index |
conversation id / message index in the source |
category |
single, parallel, or no_tool |
expected |
gold tool name(s) |
correct |
whether jev's choice is in expected |
jev_choice / jev_confidence / jev_top5 / jev_probabilities_json |
jev's answer |
model |
model version that answered |
input_tokens / output_tokens / elapsed_ms / request_id |
usage |
user_message / state |
the evaluated question and its context |
Results
- Overall: 246/308 = 79.87%
- single tool: 199/213
- parallel tools: 10/12
- no tool: 37/83
Notes
parallelturns accept any of the gold tools as correct (the question is single-choice).no_toolis the correct answer when no tool call is expected.meta/holds the gold labels, the candidate-tool set, and the metrics.- Built from
conversational-turkish-tool-call.json.
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