metadata: 2026-07-07 revised taxonomy (task_type format vocabulary multiple_choice/yes_no/short_answer/free_form; score_type incl. none; re-verified protocol evidence; repaired prompt provenance)
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metadata.json
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@@ -9,7 +9,7 @@
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"modalities": [
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"single_video_start"
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],
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"task_type": "
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:115-172 (hand-crafted letter-match rules first; on failure ChatGPT judges Correct/Incorrect) + :480 (judge = gpt-3.5-turbo-1106) — mirrors official llyx97/TempCompass eval; vlmevalkit@vlmeval/dataset/tempcompass.py:63-260 (TempCompass_MCQ, DEFAULT_JUDGE chatgpt-1106) agrees.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:174-225 (extract_pred yes/no rule first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass; vlmevalkit@vlmeval/dataset/tempcompass.py:458-630 (TempCompass_YorN) agrees.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:227-277 (eval_rule deterministic caption-option matching first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass caption_matching eval.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "
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"score_type": "llm_judge",
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"score_params": {
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"rubric": "binary",
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},
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:280-345 + :409 (every generated caption is graded by ChatGPT: the judge reads the caption and answers the row's mc_question; rating = 1 iff the judge's choice equals mc_answer) — official llyx97/TempCompass caption-generation eval.",
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"note": "Official protocol requires per-row mc_question and mc_answer; the mm-eval mapping keeps only answer/video_id/dim — as published, the official caption-matching judge prompt cannot be reconstructed. Not caption_metrics (no CIDEr/BLEU): grading is LLM-QA-based, binary per sample."
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},
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"prompt_template": "<video>{{ question }}",
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"mapping_from_source": {
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"modalities": [
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"single_video_start"
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],
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"task_type": "multiple_choice",
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:115-172 (hand-crafted letter-match rules first; on failure ChatGPT judges Correct/Incorrect) + :480 (judge = gpt-3.5-turbo-1106) — mirrors official llyx97/TempCompass eval; vlmevalkit@vlmeval/dataset/tempcompass.py:63-260 (TempCompass_MCQ, DEFAULT_JUDGE chatgpt-1106) agrees.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "yes_no",
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:174-225 (extract_pred yes/no rule first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass; vlmevalkit@vlmeval/dataset/tempcompass.py:458-630 (TempCompass_YorN) agrees.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "multiple_choice",
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"score_type": "rule_llm_judge",
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:227-277 (eval_rule deterministic caption-option matching first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass caption_matching eval.",
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"modalities": [
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"single_video_start"
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],
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"task_type": "free_form",
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"score_type": "llm_judge",
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"score_params": {
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"rubric": "binary",
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},
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"score_protocol": {
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"reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:280-345 + :409 (every generated caption is graded by ChatGPT: the judge reads the caption and answers the row's mc_question; rating = 1 iff the judge's choice equals mc_answer) — official llyx97/TempCompass caption-generation eval.",
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"note": "Official protocol requires per-row mc_question and mc_answer; the mm-eval mapping keeps only answer/video_id/dim. The published answer column verified (captioning/data.json, 2026-07-07) to carry the mc_answer in letter+text form (e.g. 'C. pushing bikes up a hill'), but mc_question is NOT shipped — as published, the official caption-matching judge prompt cannot be reconstructed without re-fetching mc_question from lmms-lab/TempCompass. Not caption_metrics (no CIDEr/BLEU): grading is LLM-QA-based, binary per sample."
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},
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"prompt_template": "<video>{{ question }}",
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"mapping_from_source": {
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