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ct_g_pvb_g_assembly101_HMC_21176623_mon_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/Assembly101/HMC_21176623_mono10bit.mp4
{ "id": "ct_g_pvb_g_assembly101_HMC_21176623_mon_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/assembly101", "original_id": "g_assembly101_HMC_21176623_mon_G", "video": { "name": "HMC_21176623_mono10bit.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/...
null
ct_g_pvb_g_wearable_ai_d93f21691be865c6_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/external/d8a9a4829a321b52_d93f21691be865c6.mp4
{ "id": "ct_g_pvb_g_wearable_ai_d93f21691be865c6_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/wearable_ai", "original_id": "g_wearable_ai_d93f21691be865c6_G", "video": { "name": "d93f21691be865c6.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/U...
null
ct_g_pvb_g_captaincook4d_cc_13_44_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/CaptainCook4D/cc_13_44.mp4
{ "id": "ct_g_pvb_g_captaincook4d_cc_13_44_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/captaincook4d", "original_id": "g_captaincook4d_cc_13_44_G", "video": { "name": "cc_13_44.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBen...
null
ct_g_pvb_g_b2bal_ego_general_9000_P04__P04-2024041_6c769fce_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/HD-EPIC/P04-20240414-065311.mp4
{ "id": "ct_g_pvb_g_b2bal_ego_general_9000_P04__P04-2024041_6c769fce_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b2bal_ego_general_9000", "original_id": "g_b2bal_ego_general_9000_P04__P04-2024041_6c769fce_G", "video": { "name": "P04__P04-20240414-065311.mp4", "lo...
null
ct_g_pvb_g_egooops_ion_S1730002_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/EgoOops/S1730002.MP4
{ "id": "ct_g_pvb_g_egooops_ion_S1730002_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/egooops", "original_id": "g_egooops_ion_S1730002_G", "video": { "name": "ion_S1730002.MP4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/dat...
null
ct_g_pvb_g_egoper_tea_u1_a2_error__G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/egoper/tea_u1_a2_error_001.mp4
{ "id": "ct_g_pvb_g_egoper_tea_u1_a2_error__G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/egoper", "original_id": "g_egoper_tea_u1_a2_error__G", "video": { "name": "tea_u1_a2_error_001.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProact...
null
ct_g_pvb_g_egoprocel_27.tent.071119.g_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/EgoProceL/27.tent.071119.gopro.mp4
{ "id": "ct_g_pvb_g_egoprocel_27.tent.071119.g_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/egoprocel", "original_id": "g_egoprocel_27.tent.071119.g_G", "video": { "name": "27.tent.071119.gopro.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/Uni...
null
ct_g_pvb_g_egoserve_HoloAssist__z108_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/HoloAssist/z108-july-26-22-dslr.mp4
{ "id": "ct_g_pvb_g_egoserve_HoloAssist__z108_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/egoserve", "original_id": "g_egoserve_HoloAssist__z108_G", "video": { "name": "HoloAssist__z108-july-26-22-dslr.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer...
null
ct_g_pvb_g_p0_fast_10_p2_88274a0f6890_OP0_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/EGTEA/OP02-R02-TurkeySandwich.mp4
{ "id": "ct_g_pvb_g_p0_fast_10_p2_88274a0f6890_OP0_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/p0_fast_10_p2", "original_id": "g_p0_fast_10_p2_88274a0f6890_OP0_G", "video": { "name": "88274a0f6890_OP02-R02-TurkeySandwich.mp4", "local_path": "/home/chengzhiliu_goo...
null
ct_g_pvb_g_evostruggle_Origami_32_04_02_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/EvoStruggle/32_04_02.mp4
{ "id": "ct_g_pvb_g_evostruggle_Origami_32_04_02_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/evostruggle", "original_id": "g_evostruggle_Origami_32_04_02_G", "video": { "name": "Origami_32_04_02.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/U...
null
ct_g_pvb_g_industreal_13_assy_0_1_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/IndustReal/13_assy_0_1.mp4
{ "id": "ct_g_pvb_g_industreal_13_assy_0_1_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/industreal", "original_id": "g_industreal_13_assy_0_1_G", "video": { "name": "13_assy_0_1.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBen...
null
ct_g_pvb_g_meccano_0019_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/MECCANO/0019.mp4
{ "id": "ct_g_pvb_g_meccano_0019_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/meccano", "original_id": "g_meccano_0019_G", "video": { "name": "0019.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/MECCANO/0019.mp...
null
ct_g_pvb_g_qevd_0031_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/qevd/0031.mp4
{ "id": "ct_g_pvb_g_qevd_0031_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/qevd", "original_id": "g_qevd_0031_G", "video": { "name": "0031.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/qevd/0031.mp4", "fra...
null
ct_g_pvb_g_vpt_cheeky-cornflowe_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/VPT/cheeky-cornflower-setter-0ac982de1b70-20220420-180354.mp4
{ "id": "ct_g_pvb_g_vpt_cheeky-cornflowe_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/vpt", "original_id": "g_vpt_cheeky-cornflowe_G", "video": { "name": "cheeky-cornflower-setter-0ac982de1b70-20220420-180354.mp4", "local_path": "/home/chengzhiliu_google_com/code/...
null
ct_g_pvb_g_wearable_ai_02481510e18faa48_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/wearable_ai/02481510e18faa48.mp4
{ "id": "ct_g_pvb_g_wearable_ai_02481510e18faa48_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/wearable_ai", "original_id": "g_wearable_ai_02481510e18faa48_G", "video": { "name": "02481510e18faa48.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/U...
null
ct_g_pvb_g_b60_barista_0000_c0d58229-4002-46_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/BARISTA/video_42a15c53cc.mp4
{ "id": "ct_g_pvb_g_b60_barista_0000_c0d58229-4002-46_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b60_barista_0000", "original_id": "g_b60_barista_0000_c0d58229-4002-46_G", "video": { "name": "c0d58229-4002-46aa-ba97-f2f071b3fc3f_video.mp4", "local_path": "/home/...
null
ct_g_pvb_g_b2bal_impact_0000_impact__dfcaba34_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/IMPACT/LE07UF17_Disassembly_A_001_ego.mp4
{ "id": "ct_g_pvb_g_b2bal_impact_0000_impact__dfcaba34_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b2bal_impact_0000", "original_id": "g_b2bal_impact_0000_impact__dfcaba34_G", "video": { "name": "impact__dfcaba34072de72e__LE07UF17_Disassembly_A_001_ego.mp4", "loc...
null
ct_g_pvb_g_b2bal_assembly101_9001_nusar-2021_actio_4ba0b11c_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/ASM/nusar-2021_action_both_9063-c13f_9063_user_id_2021-02-17_100446.mp4
{ "id": "ct_g_pvb_g_b2bal_assembly101_9001_nusar-2021_actio_4ba0b11c_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b2bal_assembly101_9001", "original_id": "g_b2bal_assembly101_9001_nusar-2021_actio_4ba0b11c_G", "video": { "name": "nusar-2021_action_both_9063-c13f_9063_...
null
ct_g_pvb_g_b1e_cc4d_pool_0003_16_27_360p_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/CC4D/16_27_360p.mp4
{ "id": "ct_g_pvb_g_b1e_cc4d_pool_0003_16_27_360p_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b1e_cc4d_pool_0003", "original_id": "g_b1e_cc4d_pool_0003_16_27_360p_G", "video": { "name": "16_27_360p.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eva...
null
ct_g_pvb_g_b0e_emc_videos_GX010023_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/EMC/GX010023.MP4
{ "id": "ct_g_pvb_g_b0e_emc_videos_GX010023_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b0e_emc_videos", "original_id": "g_b0e_emc_videos_GX010023_G", "video": { "name": "GX010023.mp4", "local_path": "/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactive...
null
ct_g_pvb_g_b0e_guide_videos_Google_Sheets_A__852bfcb6_G
CT
G
unreviewed
/home/chengzhiliu_google_com/code/Summer/eval/UnifiedProactiveBench/data/videos/GUIDE/Google_Sheets_A_Task_2_8_12_2025_6_32_44_segment_788.0_830.0.mp4
{ "id": "ct_g_pvb_g_b0e_guide_videos_Google_Sheets_A__852bfcb6_G", "category": "Criterion_Timing", "task_family": "G", "source_dataset": "pvb/G/b0e_guide_videos", "original_id": "g_b0e_guide_videos_Google_Sheets_A__852bfcb6_G", "video": { "name": "Google_Sheets_A_Task_2_8_12_2025_6_32_44_segment_788.0_8...
null
End of preview. Expand in Data Studio

Proactive eval review snapshot (2026-10-19)

πŸ†• NEW in this upload (2026-10-27): 2,000 extra UNREVIEWED candidates

CT-G CT-L CT-M PS-R
Newly added samples 500 500 500 500
  • Everything else in this repo (the 5,742 qualified samples and the 700 pending PS-P) is unchanged from the 2026-10-19 snapshot.
  • The new batch lives only in: data/extra_candidates_2000.jsonl (config extra_candidates), media/CT_ext/, media/PS_R_ext/, media_index/CT_ext.jsonl, media_index/PS_R_ext.jsonl.
  • These samples have not passed human review and are not counted in the qualified tables below. Details: Extra candidates.

This snapshot contains 5,742 qualified samples from the CT, CM/MC/RUC, PS and JOY review sets, plus 700 newly selected PS-P candidates that are still unreviewed. The pending candidates are excluded from the qualified split. The video bundle contains 54 compressed volumes (about 143 GB total).

2026-10-27 update: added 2,000 extra unreviewed candidates (CT-G / CT-L / CT-M / PS-R, 500 each) in a separate split and media bundle; see Extra candidates. They are not part of the qualified counts below.

Counts

Dataset Subclass Qualified Pending review
CT G 794 0
CT L 654 0
CT M 531 0
CT T 837 0
CM G 143 0
CM L 74 0
CM M 122 0
CM T 161 0
MC G 153 0
MC L 97 0
MC M 133 0
MC T 117 0
RUC G 175 0
RUC L 83 0
RUC M 81 0
RUC T 161 0
PS A 24 0
PS I 445 0
PS P 119 700
PS R 240 0
JOY C 111 0
JOY E 382 0
JOY N 105 0
Total 5,742 700

Files

  • data/reviewed_qualified.jsonl: one row per approved sample; sample contains the original annotation and review contains the reviewer-approved text, timing edits and audit metadata.
  • data/ps_p_pending_700.jsonl: additional PS-P candidates with review_status=unreviewed. These have not passed human review.
  • media/<group>/part-*.tar.zst: zstd-compressed tar volumes containing the original video files.
  • media_index/<group>.jsonl: maps every sample_id to its archive, member path, and uncompressed video size. Use this index to locate a sample's video.
  • data/extra_candidates_2000.jsonl: the 2,000 extra unreviewed candidates (same row schema as above, review_status=unreviewed, review=null).
  • media/CT_ext/, media/PS_R_ext/ and media_index/CT_ext.jsonl, media_index/PS_R_ext.jsonl: videos and lookup for the extra candidates.
  • counts.json: machine-readable subclass counts.

To extract one archive: tar --use-compress-program=zstd -xf media/CT/part-000.tar.zst. The paths inside the archive match the member field in media_index. Video files can be shared by multiple samples.

The review snapshot intentionally keeps original source fields for provenance, including source URIs and local paths. For this HF copy, use media_index to locate the bundled video. Source dataset terms may differ by source; check the license and source_dataset fields before redistribution.

Provenance

  • CT: ct_criterion_review/reviews/Jiheng_Hou (G/L) and reviews/cy (M/T).
  • CM/MC/RUC: cm_mc_ruc_review/reviews/cy.
  • PS: ps_joy_review/reviews/Jiheng_Hou.
  • JOY: ps_joy_review/reviews/cy.
  • Pending PS-P: ps_joy_review/data/ps_p_expansion_700.jsonl, selected from the original PS40K pool.

Extra candidates (unreviewed, 2026-10-27) β€” NEW in this upload

2,000 additional candidates for the subclasses that needed more samples. None has passed human review; annotations are pipeline-generated (CT: Gemini-built Criterion_Timing; PS-R: Gemini-generated with automated verification, automated_status=passed). They are kept out of qualified.

Dataset Subclass Samples Unique videos Source datasets Max share of one source Where drawn from
CT G 500 500 32 30 (6%) Criterion_Timing pool, balanced split
CT L 500 500 17 45 (9%) Criterion_Timing pool: 406 balanced + 94 extra
CT M 500 500 16 41 (8%) Criterion_Timing pool: 389 balanced + 111 extra
PS R 500 500 26 33 (6.6%) ProactiveStreaming40K: 121 internal_test + 138 development + 241 train
Total 2,000 2,000

PS-R task mix: once_per_event_instance 240, every_occurrence_response 152, unique_target_counting 108 (same proportions as the qualified PS-R set).

Selection rules

  • Every candidate is absent from the earlier review pools (including rejected items) and from the qualified and pending-PS-P sets above, by sample id, video name and video sha256.
  • One sample per video, and no two samples in a class share a near-identical scene/task description (token-overlap filter).
  • Samples are drawn round-robin across source datasets so no source dominates. CT-L and CT-M have only 17 and 16 usable sources, which is why their largest source reaches 8-9%.
  • Prefers surplus eval data (internal_test / development / extra) over training data where available.

To locate a video, use media_index/CT_ext.jsonl (CT) or media_index/PS_R_ext.jsonl (PS-R); archives are media/CT_ext/part-*.tar.zst and media/PS_R_ext/part-*.tar.zst. PS40K sources carry license_status=review_required; check licenses before redistribution.

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