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Initial release: parquets, metadata, README, LICENSES (videos to follow)

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  1. LICENSES/EPIC-Kitchens-100-CC-BY-NC-4.0.txt +153 -0
  2. LICENSES/SoccerNet-NOTE.txt +26 -0
  3. LICENSES/synthetic-and-easyhuman.txt +25 -0
  4. README.md +146 -0
  5. _split_sizes.json +34 -0
  6. clips/UNIFORM_EVAL_L008_ELOW/video_10_q0_false_sequential.mp4 +3 -0
  7. clips/UNIFORM_EVAL_L008_ELOW/video_10_q10_false_sequential.mp4 +3 -0
  8. clips/UNIFORM_EVAL_L008_ELOW/video_10_q11_true_sequential.mp4 +3 -0
  9. clips/UNIFORM_EVAL_L008_ELOW/video_10_q12_true_sequential.mp4 +3 -0
  10. clips/UNIFORM_EVAL_L008_ELOW/video_10_q13_true_sequential.mp4 +3 -0
  11. clips/UNIFORM_EVAL_L008_ELOW/video_10_q14_true_spatial.mp4 +3 -0
  12. clips/UNIFORM_EVAL_L008_ELOW/video_10_q15_true_spatial.mp4 +3 -0
  13. clips/UNIFORM_EVAL_L008_ELOW/video_10_q1_true_sequential.mp4 +3 -0
  14. clips/UNIFORM_EVAL_L008_ELOW/video_10_q2_true_sequential.mp4 +3 -0
  15. clips/UNIFORM_EVAL_L008_ELOW/video_10_q3_true_sequential.mp4 +3 -0
  16. clips/UNIFORM_EVAL_L008_ELOW/video_10_q4_true_sequential.mp4 +3 -0
  17. clips/UNIFORM_EVAL_L008_ELOW/video_10_q5_false_spatial.mp4 +3 -0
  18. clips/UNIFORM_EVAL_L008_ELOW/video_10_q6_true_sequential.mp4 +3 -0
  19. clips/UNIFORM_EVAL_L008_ELOW/video_10_q7_false_sequential.mp4 +3 -0
  20. clips/UNIFORM_EVAL_L008_ELOW/video_10_q8_true_sequential.mp4 +3 -0
  21. clips/UNIFORM_EVAL_L008_ELOW/video_10_q9_true_sequential.mp4 +3 -0
  22. clips/UNIFORM_EVAL_L008_ELOW/video_11_q0_true_spatial.mp4 +3 -0
  23. clips/UNIFORM_EVAL_L008_ELOW/video_11_q10_false_spatial.mp4 +3 -0
  24. clips/UNIFORM_EVAL_L008_ELOW/video_11_q11_true_spatial.mp4 +3 -0
  25. clips/UNIFORM_EVAL_L008_ELOW/video_11_q12_false_spatial.mp4 +3 -0
  26. clips/UNIFORM_EVAL_L008_ELOW/video_11_q13_false_sequential.mp4 +3 -0
  27. clips/UNIFORM_EVAL_L008_ELOW/video_11_q14_false_spatial.mp4 +3 -0
  28. clips/UNIFORM_EVAL_L008_ELOW/video_11_q15_true_sequential.mp4 +3 -0
  29. clips/UNIFORM_EVAL_L008_ELOW/video_11_q1_false_sequential.mp4 +3 -0
  30. clips/UNIFORM_EVAL_L008_ELOW/video_11_q2_true_spatial.mp4 +3 -0
  31. clips/UNIFORM_EVAL_L008_ELOW/video_11_q3_true_sequential.mp4 +3 -0
  32. clips/UNIFORM_EVAL_L008_ELOW/video_11_q4_true_sequential.mp4 +3 -0
  33. clips/UNIFORM_EVAL_L008_ELOW/video_11_q5_true_sequential.mp4 +3 -0
  34. clips/UNIFORM_EVAL_L008_ELOW/video_11_q6_true_sequential.mp4 +3 -0
  35. clips/UNIFORM_EVAL_L008_ELOW/video_11_q7_true_sequential.mp4 +3 -0
  36. clips/UNIFORM_EVAL_L008_ELOW/video_11_q8_true_spatial.mp4 +3 -0
  37. clips/UNIFORM_EVAL_L008_ELOW/video_11_q9_false_sequential.mp4 +3 -0
  38. clips/UNIFORM_EVAL_L008_ELOW/video_12_q0_true_spatial.mp4 +3 -0
  39. clips/UNIFORM_EVAL_L008_ELOW/video_12_q10_false_sequential.mp4 +3 -0
  40. clips/UNIFORM_EVAL_L008_ELOW/video_12_q11_false_spatial.mp4 +3 -0
  41. clips/UNIFORM_EVAL_L008_ELOW/video_12_q12_false_sequential.mp4 +3 -0
  42. clips/UNIFORM_EVAL_L008_ELOW/video_12_q13_true_spatial.mp4 +3 -0
  43. clips/UNIFORM_EVAL_L008_ELOW/video_12_q14_true_spatial.mp4 +3 -0
  44. clips/UNIFORM_EVAL_L008_ELOW/video_12_q15_false_sequential.mp4 +3 -0
  45. clips/UNIFORM_EVAL_L008_ELOW/video_12_q1_true_sequential.mp4 +3 -0
  46. clips/UNIFORM_EVAL_L008_ELOW/video_12_q2_false_spatial.mp4 +3 -0
  47. clips/UNIFORM_EVAL_L008_ELOW/video_12_q3_false_spatial.mp4 +3 -0
  48. clips/UNIFORM_EVAL_L008_ELOW/video_12_q4_false_sequential.mp4 +3 -0
  49. clips/UNIFORM_EVAL_L008_ELOW/video_12_q5_true_spatial.mp4 +3 -0
  50. clips/UNIFORM_EVAL_L008_ELOW/video_12_q6_true_sequential.mp4 +3 -0
LICENSES/EPIC-Kitchens-100-CC-BY-NC-4.0.txt ADDED
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1
+ EPIC-KITCHENS-100 derived clips in this dataset
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+ ================================================
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+
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+ The 950 EPIC-Kitchens-100-derived clips referenced from `natural_video.parquet`
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+ (rows where `source_dataset == "epic-kitchens-100"`) are licensed under the
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+ Creative Commons Attribution-NonCommercial 4.0 International Public License
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+ ("CC BY-NC 4.0"), in line with the upstream EPIC-Kitchens-100 release.
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+
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+ Attribution
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+ -----------
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+
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+ EPIC-Kitchens-100 is described in:
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+
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+ Damen, D., Doughty, H., Farinella, G. M., Furnari, A., Ma, J.,
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+ Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W.,
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+ Wray, M. "Rescaling Egocentric Vision: Collection, Pipeline and
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+ Challenges for EPIC-KITCHENS-100." International Journal of
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+ Computer Vision (IJCV), 2022.
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+
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+ Project page: https://epic-kitchens.github.io/2025
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+
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+ The clips redistributed here are short re-renderings of EPIC-Kitchens-100
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+ material at 1 fps, prepared for research-use evaluation of long-context VLMs.
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+ Use of these clips is restricted to non-commercial research, in accordance
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+ with CC BY-NC 4.0.
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+
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+
28
+ Creative Commons Attribution-NonCommercial 4.0 International
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+ ============================================================
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+
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+ By exercising the Licensed Rights (defined below), You accept and agree to be
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+ bound by the terms and conditions of this Creative Commons
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+ Attribution-NonCommercial 4.0 International Public License ("Public License").
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+ To the extent this Public License may be interpreted as a contract, You are
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+ granted the Licensed Rights in consideration of Your acceptance of these
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+ terms and conditions, and the Licensor grants You such rights in consideration
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+ of benefits the Licensor receives from making the Licensed Material available
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+ under these terms and conditions.
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+
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+ Section 1 -- Definitions.
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+
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+ a. Adapted Material means material subject to Copyright and Similar Rights
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+ that is derived from or based upon the Licensed Material and in which
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+ the Licensed Material is translated, altered, arranged, transformed, or
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+ otherwise modified in a manner requiring permission under the Copyright
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+ b. Licensed Material means the artistic or literary work, database, or
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+ other material to which the Licensor applied this Public License.
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+ c. Licensed Rights means the rights granted to You subject to the terms
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+ d. NonCommercial means not primarily intended for or directed towards
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+ e. Share means to provide material to the public by any means or process
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+ 1. Subject to the terms and conditions of this Public License, the
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+ Section 3 -- License Conditions.
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+ Your exercise of the Licensed Rights is expressly made subject to the
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+ a. Attribution.
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+ 1. If You Share the Licensed Material, You must:
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+ a. retain the following if it is supplied by the Licensor:
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+ identification of the creator(s) of the Licensed Material
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+ notice; a notice that refers to this Public License; a notice
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+ hyperlink to the Licensed Material to the extent reasonably
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+ practicable;
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+ b. indicate if You modified the Licensed Material and retain an
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+ indication of any previous modifications; and
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+ c. indicate the Licensed Material is licensed under this Public
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+ License, and include the text of, or the URI or hyperlink to,
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+ this Public License.
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+
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+ b. NonCommercial. You may not exercise any of the Licensed Rights for
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+ primarily commercial advantage or monetary compensation.
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+ Section 4 -- Sui Generis Database Rights.
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+ Where the Licensed Rights include Sui Generis Database Rights that apply
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+ to Your use of the Licensed Material, the Licensor waives those rights
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+ to the conditions herein.
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+ Section 5 -- Disclaimer of Warranties and Limitation of Liability.
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+
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+ THE LICENSED MATERIAL IS PROVIDED "AS-IS" AND "AS-AVAILABLE", AND THE
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+ LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING
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+ THE LICENSED MATERIAL, WHETHER EXPRESS, IMPLIED, STATUTORY, OR OTHER.
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+
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+ TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE TO YOU
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+ ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE,
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+ EXEMPLARY, OR OTHER LOSSES, COSTS, EXPENSES, OR DAMAGES ARISING OUT OF
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+ THIS PUBLIC LICENSE OR USE OF THE LICENSED MATERIAL.
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+ Section 6 -- Term and Termination.
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+ This Public License applies for the term of the Copyright and Similar
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+ Rights licensed here. Your rights under this Public License will terminate
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+ automatically if You fail to comply with this Public License.
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+ Section 7 -- Other Terms and Conditions.
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+ The Licensor shall not be bound by any additional or different terms or
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+ conditions communicated by You unless expressly agreed.
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+
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+ Section 8 -- Interpretation.
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+
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+ This Public License does not, and shall not be interpreted to, reduce,
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+ limit, restrict, or impose conditions on any use of the Licensed Material
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+ that could lawfully be made without permission under this Public License.
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+
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+ For the full canonical text, see:
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+ https://creativecommons.org/licenses/by-nc/4.0/legalcode
LICENSES/SoccerNet-NOTE.txt ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ SoccerNet provenance — videos NOT included
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+ ==========================================
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+
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+ The 78 SoccerNet-derived rows in `natural_video.parquet`
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+ (`source_dataset == "soccernet"`) carry full provenance metadata in the
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+ `source_provenance` column (JSON), but the underlying video files are NOT
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+ included in this bundle due to the SoccerNet NDA.
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+
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+ To reconstruct these clips:
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+
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+ 1. Obtain the original SoccerNet videos from https://www.soccer-net.org/data
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+ after signing the SoccerNet NDA.
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+ 2. For each row, parse the `source_provenance` JSON. Relevant fields:
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+ - `source_match`: full SoccerNet match label.
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+ - `source_half`: 1 or 2.
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+ - `source_video_path`: relative path under `soccernet/<league>/<season>/<match>/`.
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+ - `clip_start_in_source_seconds`, `clip_end_in_source_seconds`: clip span.
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+ - `event_type`, `event_position_in_source_seconds`: anomaly metadata
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+ (positive rows only).
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+ 3. Use ffmpeg or similar to slice the indicated time range from the source
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+ half video to recover the clip referenced by the row.
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+
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+ Citation for SoccerNet:
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+ Giancola, S., Amine, M., Dghaily, T., Ghanem, B. "SoccerNet: A Scalable
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+ Dataset for Action Spotting in Soccer Videos." CVPR Workshops, 2018.
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+ Project: https://www.soccer-net.org/
LICENSES/synthetic-and-easyhuman.txt ADDED
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+ Synthetic streams and EasyHuman subset
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+ ======================================
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+
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+ License: Creative Commons Attribution 4.0 International (CC BY 4.0)
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+ Copyright (c) 2026 Anonymous Authors
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+
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+ The following splits are released by Anonymous Authors under CC BY 4.0:
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+
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+ - substream_text.parquet (synthetic streams, all entropy bands, L=8..4096)
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+ - substream_video.parquet (rendered videos for synthetic streams, L<=1024)
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+ - easyhuman_text.parquet (EasyHuman text streams, L in {256, 1024})
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+ - easyhuman_video.parquet (EasyHuman rendered 3-belt videos, L=256)
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+ - all referenced media under `videos/UNIFORM_EVAL_*/` and
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+ `clips/UNIFORM_EVAL_*/` (synthetic) and under `len_256/{videos,clips}/`
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+ (EasyHuman) in this bundle.
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+
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+ You may share and adapt these materials for any purpose, including commercial,
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+ provided you give appropriate credit, provide a link to the license, and
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+ indicate if changes were made. Full license text:
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+
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+ https://creativecommons.org/licenses/by/4.0/legalcode
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+
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+ Citation:
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+
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+ Anonymous, "Substream Recollection," 2026 (anonymized for review).
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ pretty_name: Substream Recollection
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - video-classification
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+ - visual-question-answering
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+ - question-answering
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+ tags:
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+ - long-context
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+ - memory
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+ - benchmark
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+ - video-llm
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+ configs:
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+ - config_name: easyhuman_text
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+ data_files: easyhuman_text.parquet
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+ - config_name: easyhuman_video
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+ data_files: easyhuman_video.parquet
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+ - config_name: substream_text
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+ data_files: substream_text.parquet
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+ - config_name: substream_video
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+ data_files: substream_video.parquet
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+ - config_name: natural_video
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+ data_files: natural_video.parquet
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+ dataset_info:
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+ - config_name: easyhuman_text
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+ splits:
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+ - name: train
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+ num_examples: 448
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+ - config_name: easyhuman_video
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+ splits:
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+ - name: train
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+ num_examples: 224
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+ - config_name: substream_text
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+ splits:
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+ - name: train
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+ num_examples: 7680
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+ - config_name: substream_video
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+ splits:
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+ - name: train
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+ num_examples: 6080
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+ - config_name: natural_video
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+ splits:
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+ - name: train
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+ num_examples: 1028
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+ ---
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+
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+ # Substream Recollection
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+
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+ A controlled benchmark for substream membership recall in long-context VLMs and
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+ LLMs. Each row is a `(stream, probe, label)` tuple: the model sees a long input
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+ stream and a short probe, and must answer "yes" or "no" — did the probe occur
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+ inside the stream?
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+
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+ The bundle has five splits:
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+
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+ - **easyhuman_text** — text-mode EasyHuman: comma-separated symbol streams at
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+ L=256 and L=1024, with binary "did this short pattern appear?" probes.
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+ - **easyhuman_video** — video-mode EasyHuman at L=256: rendered 3-belt
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+ conveyor videos with the same probe families as `easyhuman_text` (X/Y
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+ block presence, variation absence, mistakes, invalid cycles).
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+ - **substream_text** — synthetic text-mode Substream Recollection. All entropy
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+ bands (low / medium / uniform) at every L in {8, 16, 32, 64, 128, 256, 512,
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+ 1024, 2048, 4096}. Probes are sequential (subsequence-of) or spatial
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+ (lane-conditioned). The text stream is the comma-joined `S_tokens` from the
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+ source video.
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+ - **substream_video** — same `(video, question)` pairs as `substream_text`,
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+ but the input is the rendered video. Restricted to L ≤ 1024 because longer
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+ videos are impractical for current VLMs.
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+ - **natural_video** — natural-video benchmark drawn from EPIC-Kitchens-100 and
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+ SoccerNet, at L ∈ {8, 16, 64, 128, 512, 1024}. Each row asks whether a named
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+ event occurred in the clip. SoccerNet rows do **not** ship the underlying
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+ video files; provenance metadata is provided in the `source_provenance`
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+ column so the original videos can be obtained from
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+ https://www.soccer-net.org/data after signing the SoccerNet NDA.
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+
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+ ## Schema
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+
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+ Every parquet has the same columns:
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+
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+ | column | type | notes |
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+ | --- | --- | --- |
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+ | `split` | str | one of the five split names |
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+ | `subset` | str | bucket id (e.g. `UNIFORM_EVAL_L0128_ELOW`, `len_1024`, `L=128`) |
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+ | `length_L` | int64 | normalized stream length |
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+ | `entropy_band` | str | `low` / `medium` / `uniform` / `natural` / `easyhuman` |
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+ | `modality` | str | `text` or `video` |
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+ | `question_variant` | str | `sequential` / `spatial` / `binary_natural` / `easyhuman_binary` |
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+ | `video_index` | int64 | per-bucket video id; null for text-only natural rows |
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+ | `question_index` | int64 | per-video question position |
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+ | `question_text` | str | prompt the model sees (no scaffolding) |
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+ | `candidate` | str (JSON) | probe metadata; null where N/A |
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+ | `answer` | str | ground-truth label (`yes` / `no`) |
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+ | `clip_path` | str | relative path to the probe clip (where applicable) |
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+ | `video_path` | str | relative path to the parent video (where applicable) |
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+ | `dataset_source` | str | `synthetic` / `easyhuman` / `epic-kitchens-100` / `soccernet` |
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+ | `input_sequence` | str | comma-joined input symbols (text mode payload) |
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+ | `source_class` | str | natural-only event-class label |
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+ | `source_dataset` | str | natural-only origin tag |
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+ | `video_id` | str | canonical video id (joins to eval state files) |
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+ | `question_id` | str | canonical question id |
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+ | `source_provenance` | str (JSON) | natural_video only; for SoccerNet rows, JSON describing the source match, half, time range, and license. Null elsewhere. |
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+
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+ ## Files
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+
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+ - `easyhuman_text.parquet` (448 rows)
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+ - `easyhuman_video.parquet` (224 rows)
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+ - `substream_text.parquet` (7,680 rows)
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+ - `substream_video.parquet` (6,080 rows)
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+ - `natural_video.parquet` (1,028 rows)
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+ - `metadata.json` — Croissant 1.0 dataset description
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+ - `_split_sizes.json` — machine-readable split-size sidecar
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+ - `videos/` and `clips/` — rendered synthetic substream media (substream_video)
117
+ - `len_256/{videos,clips}/` — rendered EasyHuman media (easyhuman_video)
118
+ - `exact1fps_short/`, `exact1fps_B{1..5}/` — EPIC-Kitchens-100 derived clips
119
+ (natural_video). Each row's `video_path` column is a relative path under
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+ this layout. SoccerNet rows are excluded; see `source_provenance` column.
121
+ - `LICENSES/` — full license text for each underlying source
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+
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+ The 78 SoccerNet-derived rows are present in `natural_video.parquet` but the
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+ underlying video files are **not** redistributed here (NDA-gated source);
125
+ see `LICENSES/SoccerNet-NOTE.txt` and the `source_provenance` column.
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+
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+ ## Licenses
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+
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+ This bundle aggregates several sources, each under its own license:
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+
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+ | split / source | license | file |
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+ | --- | --- | --- |
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+ | Synthetic streams (substream_text, substream_video) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
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+ | EasyHuman (easyhuman_text, easyhuman_video) | CC BY 4.0, Anonymous Authors 2026 | `LICENSES/synthetic-and-easyhuman.txt` |
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+ | EPIC-Kitchens-100 derived clips (natural_video) | CC BY-NC 4.0 (research use only) | `LICENSES/EPIC-Kitchens-100-CC-BY-NC-4.0.txt` |
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+ | SoccerNet derived clips (natural_video, provenance only) | NDA-gated source; not redistributed | `LICENSES/SoccerNet-NOTE.txt` |
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+
138
+ The top-level `license: cc-by-4.0` tag in this card refers to the
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+ Anonymous-Authors-owned splits (synthetic + EasyHuman) and to this card,
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+ metadata, and code only. EPIC-Kitchens-100 derivatives remain CC BY-NC 4.0;
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+ SoccerNet provenance metadata is shared under fair-use research-citation
142
+ conventions and the underlying clips are not included.
143
+
144
+ ## Citation
145
+
146
+ Cite as: Anonymous, "Substream Recollection," 2026 (anonymized for review).
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