Datasets:
Download data/unified_task_model_radar.json from cy0307/ropedia-xperience-10m-task-suite-artifacts: direct link, hf CLI and curl.
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- Download file 31.2 kB
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https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/d286817823903abc7df2955fc0949ac34f116840/data/unified_task_model_radar.json
- Command line
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hf download hf://datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts@d286817823903abc7df2955fc0949ac34f116840/data/unified_task_model_radar.json
-
curl -L -o unified_task_model_radar.json https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/d286817823903abc7df2955fc0949ac34f116840/data/unified_task_model_radar.json
31.2 kB
| { | |
| "title": "Unified 20-Task Model Radar", | |
| "status": "pass", | |
| "generated_at_utc": "2026-06-16T05:26:39+00:00", | |
| "task_count": 20, | |
| "normalization_policy": { | |
| "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]", | |
| "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task", | |
| "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table", | |
| "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract." | |
| }, | |
| "series": [ | |
| { | |
| "id": "minimal", | |
| "label": "Minimal", | |
| "short_label": "Min", | |
| "color": "#ccffa0", | |
| "kind": "full_20_task_baseline", | |
| "scope": "1 public sample episode", | |
| "stroke_dasharray": null, | |
| "covered_task_count": 20, | |
| "coverage_fraction": 1.0 | |
| }, | |
| { | |
| "id": "neural_mlp", | |
| "label": "Neural MLP", | |
| "short_label": "NN", | |
| "color": "#67e8d1", | |
| "kind": "full_20_task_baseline", | |
| "scope": "1 public sample episode", | |
| "stroke_dasharray": null, | |
| "covered_task_count": 20, | |
| "coverage_fraction": 1.0 | |
| }, | |
| { | |
| "id": "qwen3_omni_v6_lora", | |
| "label": "Qwen3-Omni v6 LoRA", | |
| "short_label": "Qwen3", | |
| "color": "#9bb8ff", | |
| "kind": "partial_128_episode_foundation_model_overlay", | |
| "scope": "128 selected episodes, held-out test", | |
| "stroke_dasharray": "7 7", | |
| "covered_task_count": 6, | |
| "coverage_fraction": 0.3 | |
| }, | |
| { | |
| "id": "cosmos3_super_reasoner", | |
| "label": "Cosmos3-Super Reasoner", | |
| "short_label": "C3-S", | |
| "color": "#ff9c7a", | |
| "kind": "partial_128_episode_foundation_model_overlay", | |
| "scope": "128 selected episodes, held-out test", | |
| "stroke_dasharray": "4 7", | |
| "covered_task_count": 6, | |
| "coverage_fraction": 0.3 | |
| }, | |
| { | |
| "id": "cosmos3_nano_future_window", | |
| "label": "Cosmos3-Nano Future Window", | |
| "short_label": "C3-N", | |
| "color": "#d9c7ff", | |
| "kind": "partial_128_episode_world_model_overlay", | |
| "scope": "128 selected episodes, held-out test", | |
| "stroke_dasharray": "2 7", | |
| "covered_task_count": 5, | |
| "coverage_fraction": 0.25 | |
| } | |
| ], | |
| "tasks": [ | |
| { | |
| "task_number": 1, | |
| "task_id": "timeline_action", | |
| "label": "Action Recognition", | |
| "short_label": "Action", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "macro_f1", | |
| "metric_name": "macro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.05, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/timeline_action/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.05, | |
| "raw_text": "0.0500" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.014814814814814814, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/timeline_action/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.014814814814814814, | |
| "raw_text": "0.0148" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.0028830723979596335, | |
| "metric_key": "action_macro_f1", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.0028830723979596335, | |
| "raw_text": "0.0029" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.0008284021201089245, | |
| "metric_key": "action_macro_f1", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.0008284021201089245, | |
| "raw_text": "0.0008" | |
| }, | |
| "cosmos3_nano_future_window": { | |
| "raw": 0.007936507936507936, | |
| "metric_key": "action_accuracy_from_retrieved_future", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.007936507936507936, | |
| "raw_text": "0.0079" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 2, | |
| "task_id": "timeline_subtask", | |
| "label": "Procedure Step Recognition", | |
| "short_label": "Step", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "macro_f1", | |
| "metric_name": "macro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.05056355513846935, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/timeline_subtask/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.05056355513846935, | |
| "raw_text": "0.0506" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.02810810810810811, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/timeline_subtask/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.02810810810810811, | |
| "raw_text": "0.0281" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.0037313432835820895, | |
| "metric_key": "subtask_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.0037313432835820895, | |
| "raw_text": "0.0037" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.0, | |
| "metric_key": "subtask_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.0, | |
| "raw_text": "0.0000" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 3, | |
| "task_id": "transition_detection", | |
| "label": "Action Boundary Detection", | |
| "short_label": "Boundary", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "macro_f1", | |
| "metric_name": "macro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.6118237590630229, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/transition_detection/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.6118237590630229, | |
| "raw_text": "0.6118" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.5862068965517241, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/transition_detection/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.5862068965517241, | |
| "raw_text": "0.5862" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.9898313492063492, | |
| "metric_key": "transition_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.9898313492063492, | |
| "raw_text": "0.9898" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.36830357142857145, | |
| "metric_key": "transition_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.36830357142857145, | |
| "raw_text": "0.3683" | |
| }, | |
| "cosmos3_nano_future_window": { | |
| "raw": 0.9682539682539683, | |
| "metric_key": "transition_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.9682539682539683, | |
| "raw_text": "0.9683" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 4, | |
| "task_id": "next_action", | |
| "label": "Next-Action Prediction", | |
| "short_label": "Next act", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "macro_f1", | |
| "metric_name": "macro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.05925925925925927, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/next_action/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.05925925925925927, | |
| "raw_text": "0.0593" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.04186046511627907, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/next_action/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.04186046511627907, | |
| "raw_text": "0.0419" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.04305335446381405, | |
| "metric_key": "next_action_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.04305335446381405, | |
| "raw_text": "0.0431" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.013392857142857142, | |
| "metric_key": "next_action_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.013392857142857142, | |
| "raw_text": "0.0134" | |
| }, | |
| "cosmos3_nano_future_window": { | |
| "raw": 0.007936507936507936, | |
| "metric_key": "action_accuracy_from_retrieved_future", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.007936507936507936, | |
| "raw_text": "0.0079" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 5, | |
| "task_id": "hand_trajectory_forecast", | |
| "label": "Hand Trajectory Forecasting", | |
| "short_label": "Hand traj", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "mpjpe", | |
| "metric_name": "MPJPE", | |
| "metric_direction": "lower", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.8646570444107056, | |
| "metric_key": "mpjpe", | |
| "source": "results/episode_task_suite/hand_trajectory_forecast/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.12473175026322614, | |
| "raw_text": "0.8647" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.10785018652677536, | |
| "metric_key": "mpjpe", | |
| "source": "results/episode_task_suite/neural_mlp/hand_trajectory_forecast/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 1.0, | |
| "raw_text": "0.1079" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 6, | |
| "task_id": "contact_prediction", | |
| "label": "Contact State Prediction", | |
| "short_label": "Contact", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "macro_f1", | |
| "metric_name": "macro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 1.0, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/contact_prediction/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 1.0, | |
| "raw_text": "1.000" | |
| }, | |
| "neural_mlp": { | |
| "raw": 1.0, | |
| "metric_key": "macro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/contact_prediction/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 1.0, | |
| "raw_text": "1.000" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.8177083333333334, | |
| "metric_key": "contact_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.8177083333333334, | |
| "raw_text": "0.8177" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.32142857142857145, | |
| "metric_key": "contact_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.32142857142857145, | |
| "raw_text": "0.3214" | |
| }, | |
| "cosmos3_nano_future_window": { | |
| "raw": 0.7433862433862434, | |
| "metric_key": "contact_accuracy", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.7433862433862434, | |
| "raw_text": "0.7434" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 7, | |
| "task_id": "object_relevance", | |
| "label": "Object Relevance Prediction", | |
| "short_label": "Objects", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "micro_f1", | |
| "metric_name": "micro-F1", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.18034382095361662, | |
| "metric_key": "micro_f1", | |
| "source": "results/episode_task_suite/object_relevance/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.18034382095361662, | |
| "raw_text": "0.1803" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.1679279279279279, | |
| "metric_key": "micro_f1", | |
| "source": "results/episode_task_suite/neural_mlp/object_relevance/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.1679279279279279, | |
| "raw_text": "0.1679" | |
| }, | |
| "qwen3_omni_v6_lora": { | |
| "raw": 0.3064982378331287, | |
| "metric_key": "object_micro_f1", | |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.3064982378331287, | |
| "raw_text": "0.3065" | |
| }, | |
| "cosmos3_super_reasoner": { | |
| "raw": 0.13704276146316333, | |
| "metric_key": "object_micro_f1", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.13704276146316333, | |
| "raw_text": "0.1370" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 8, | |
| "task_id": "caption_grounding", | |
| "label": "Language Grounding", | |
| "short_label": "Language", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "mrr", | |
| "metric_name": "MRR", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.016023479050338015, | |
| "metric_key": "mrr", | |
| "source": "results/episode_task_suite/caption_grounding/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.016023479050338015, | |
| "raw_text": "0.0160" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.01684125567132316, | |
| "metric_key": "mrr", | |
| "source": "results/episode_task_suite/neural_mlp/caption_grounding/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.01684125567132316, | |
| "raw_text": "0.0168" | |
| } | |
| } | |
| }, | |
| { | |
| "task_number": 9, | |
| "task_id": "cross_modal_retrieval", | |
| "label": "Cross-Modal Retrieval", | |
| "short_label": "X-modal", | |
| "origin": "original_public_sample_tasks", | |
| "metric_key": "mrr", | |
| "metric_name": "MRR", | |
| "metric_direction": "higher", | |
| "values": { | |
| "minimal": { | |
| "raw": 0.26925966892956127, | |
| "metric_key": "mrr", | |
| "source": "results/episode_task_suite/cross_modal_retrieval/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.26925966892956127, | |
| "raw_text": "0.2693" | |
| }, | |
| "neural_mlp": { | |
| "raw": 0.1299971898648288, | |
| "metric_key": "mrr", | |
| "source": "results/episode_task_suite/neural_mlp/cross_modal_retrieval/metrics.json", | |
| "scope": "single_episode_public_sample", | |
| "normalized_score": 0.1299971898648288, | |
| "raw_text": "0.1300" | |
| }, | |
| "cosmos3_nano_future_window": { | |
| "raw": 0.022138720585222767, | |
| "metric_key": "future_retrieval_mrr", | |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json", | |
| "scope": "multi_episode_128_partial_model_overlay", | |
| "normalized_score": 0.022138720585222767, | |
| "raw_text": "0.0221" | |
| } | |
| } | |
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