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SEMANTIX

Tasks:
Video-Text-to-Text
Text Retrieval
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English
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co-speech-gesture
gesture-understanding
semantic-gestures
motion-language
multimodal
ted
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SEMANTIX / VALIDATION.md
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aboots
Simplify card, add figure, per-gesture TED link validation (link_check), new flags
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Release validation

Generated by build_hf_dataset.py from the project's gold annotation sources. Rows were parsed with Python's csv module; quoted fields can contain commas, so shell line counts are not row counts.

File Rows Columns Empty fields Duplicate rows SHA-256
data/all.csv 878 14 1,971 0 9c8226ce8ab508db20918a086901b6521f9980a76ef75fd69fbd1b9e5127c08c
data/ted.csv 778 24 1,243 0 59b10f628a83b8237dff0e88d95bf8ebbbac9380be771e6f88a24d8b49383019
data/beat2.csv 100 25 97 0 80fa3543b4fe89ddfe0958a19c106fec03464c3a4a41ce9956a08e1eaf5fa96b
data/ted_talks.csv 10 9 0 0 dbfeaee26d652efa8188526f79374b7d2d90618952e6b41e893bdb29e4362fa3

videos/beat2/ holds 99 MP4 files, one per distinct BEAT2 gesture (100 BEAT2 rows; one gesture is annotated twice). Empty fields are expected: TED-only and BEAT2-only columns are blank for the other source, and reviewed_description is blank outside the 231-sample reviewed subset.

Paper-statistic checks

  • Total clips: 878 (paper: 878) — matched.
  • TED clips: 778 (paper: 778) from 10 talks (paper: 10) — matched.
  • BEAT2 clips: 100 (paper: 100) — matched.
  • TED reviewed subset: 231 (paper: 231).
  • TED intent categories: 15 (paper: 15).

Content checks

  • TED gold_description, communicative_intent, transcript, gesture_words and intent_category_raw equal the gold spreadsheet after trimming surrounding whitespace.
  • TED physical_form comes from the project's deterministic split (ted_human_annotation_exact_split_v1) and is verified to be a prefix of gold_description for every row.
  • TED reviewed_description is the text used as the reference in the paper's anchor-quality evaluation on the 231-sample subset; it differs from gold_description in 80 rows.
  • Each TED talk maps to TED's official YouTube upload; upload and source-video durations agree to within 0.11 s (per talk in data/ted_talks.csv), and every TED gesture ends before its upload does. youtube_url starts at floor(start_sec); youtube_embed_url requests floor(start_sec) to ceil(end_sec).
  • BEAT2 transcripts match BEAT2 segment metadata; start_frame/end_frame equal int(sec * 30).
  • BEAT2 descriptions with surrounding whitespace or an unbalanced straight double quote removed (9 rows): beat2_090, beat2_091, beat2_092, beat2_093, beat2_094, beat2_095, beat2_096, beat2_098, beat2_099. No other text was edited.

TED timeline alignment with YouTube

Checked with check_yt_alignment.py (kept with the build script): YouTube's seek-bar preview frames (160×90, one every 5–10 s over the whole talk) were compared with the source video, downscaled and sampled at 10 fps, for offsets from −3 s to +3 s in 0.1 s steps. Error is the mean absolute grey-level difference (0–255); blank preview frames are skipped.

Talk YouTube ID Preview frames Best offset (s) Error at best Error at 0 s Error at −1 s / +1 s
t0001 0Fi83BHQsMA 175 +0.0 4.76 4.76 15.58 / 15.26
t0002 8jPQjjsBbIc 150 +0.0 10.0 10.0 15.65 / 14.26
t0003 lmyZMtPVodo 145 +0.0 6.0 6.0 21.61 / 20.61
t0004 MB5IX-np5fE 125 +0.0 2.78 2.78 7.4 / 7.97
t0005 1BXYSGepx7Q 120 +0.0 6.89 6.89 10.94 / 11.63
t0006 LeBKBFAPwNc 97 -0.1 4.82 5.07 6.11 / 7.05
t0007 BHY0FxzoKZE 158 +0.0 4.16 4.16 15.1 / 13.6
t0008 twG4mr6Jov0 169 +0.0 3.8 3.8 10.75 / 9.56
t0009 b5ZESpOAolU 164 +0.0 5.75 5.75 18.06 / 17.0
t0010 5J6jAC6XxAI 162 +0.0 8.57 8.57 15.39 / 14.41

The sampled content supports a near-zero global offset for all ten talks. The check fits one offset per talk on a 0.1 s grid; it does not establish ±0.1 s accuracy for every gesture.

Flags

Flag Source Rows Meaning
gesture_not_visible TED 10 Annotator noted the gesture is not visible in the video; the intent field holds that note instead of an intent.
incomplete_physical_form TED 7 Physical form has 4 or fewer words (e.g. "Both hands make.").
gesture_words_not_in_interval TED 2 The gesture words are spoken outside the annotated interval (found by the per-gesture link check below); the interval, transcript snippet and original clip agree with each other.
shared_interval TED 68 Another row has exactly the same interval: the annotated region contains two gestures, told apart by gesture_words.
duplicate_gesture BEAT2 2 The same BEAT2 gesture was annotated twice with different descriptions; both are kept.
no_clear_meaning BEAT2 1 The annotator states the gesture has no discernible meaning.

Data notes

  • id is the only unique key. beat2_gesture_name identifies a BEAT2 gesture and its video, but beat2_007, beat2_096 share one gesture (annotated twice, both kept). legacy_mapped_id is an internal index kept for traceability and is not unique.
  • TED physical-form text is shared within each gesture-lexicon entry: 342 entries cover the 778 TED clips.
  • TED transcripts are Whisper ASR output; a few were corrected or trimmed by hand.
  • BEAT2 frame indices are zero-based and end-exclusive at 30 fps (int(sec * 30)); BEAT2 videos cover the gesture with up to 5 s of context on each side, bounded by the recording.

Per-gesture check of the TED YouTube links

validate_ted_links.py (kept with the build script) checked all 778 TED rows:

  • A. Annotated clip vs source video: the original SEMANTIX clip matches the source talk video at the row's timestamps (best offset in a ±1 s sweep within ±0.2 s): 774/778 rows.
  • B. YouTube vs source near the gesture: YouTube's preview frames within ±12 s of the gesture match the source video best at a local offset within ±0.5 s: 729/778 rows that have non-blank preview frames nearby.
  • C. Speech near the linked time (TED's transcript): at least half of the gesture's content words appear in TED's own transcript within ±1.5 s of the gesture. TED.com cue times were shifted to the YouTube timeline by one offset per talk (11.0–11.8 s, the length of the TED intro on YouTube), cross-fitted so that each row is checked with an offset fitted on the other half of its talk: 775/778 rows.
  • D. Word timing (word-level ASR): the source talks were transcribed with word timestamps (faster-whisper small.en, asr_word_times.py; no offset fitting). For every content word of the gesture words (stopwords ignored; numbers, hyphens and plurals normalised), the nearest ASR occurrence is located and its distance from the original annotated interval measured (0 if it overlaps). Runs of 3+ zero-duration ASR words, a Whisper repetition artefact, are ignored. The worst word decides the row's link_check value:
link_check Rows Meaning
inside 751 Every content word is spoken within 0.5 s of the interval
near 17 Every content word is spoken within 2 s of the interval
far 5 Some content word is more than 2 s away; the 2 rows more than 3 s away carry gesture_words_not_in_interval
asr_unconfirmed 5 ASR did not produce some content word (spelling or recognition variant); see the verdicts below

These checks are automated evidence, not a manual audit of every gesture. For the rows below, the word timestamps are the nearest ASR occurrence of each content word (word@start-end, seconds).

Row link_check Word timestamps Verdict
ted_0013 [67.03–71.94] near kidnapping@66.84-67.40 extortion@68.60-69.28 getting@70.18-70.42 drug@70.90-71.20 trade@71.20-71.58 illegal@72.14-72.50 mining@72.50-72.96 All content words within 0.56 s of the interval.
ted_0036 [213.55–217.03] near But@218.22-218.62 All content words within 1.19 s of the interval.
ted_0049 [282.48–284.58] asr_unconfirmed guerrilla: not found jungle@283.14-283.40 Spelling only: ASR writes "guerillas" inside the interval.
ted_0109 [746.90–748.00] far saving@755.64-755.96 place@756.16-756.36 Substantial mismatch: the words are spoken about 8 s after the interval, while the speaker is off screen; the interval matches its transcript snippet and the original clip. Flagged.
ted_0254 [553.46–555.28] near harmed@551.96-552.28 drug@555.12-555.38 helped@554.48-554.70 drug@555.12-555.38 All content words within 1.18 s of the interval.
ted_0257 [568.10–570.50] asr_unconfirmed begin@569.74-570.10 conversastion: not found Typo in the gesture words ("conversastion"); ASR has "conversation" inside the interval.
ted_0309 [133.94–134.75] asr_unconfirmed backward: not found ASR produced no words in this 0.8 s interval; TED's transcript at the linked time contains them (C).
ted_0388 [438.02–438.72] near policy@439.58-440.00 All content words within 0.86 s of the interval.
ted_0393 [459.49–461.75] near such@459.26-459.46 visceral@459.58-460.26 hatred@460.26-461.64 anger@462.98-463.38 All content words within 1.23 s of the interval.
ted_0432 [610.47–611.53] near we@612.16-612.28 would@612.28-612.42 not@612.42-612.60 All content words within 0.89 s of the interval.
ted_0451 [40.91–42.06] near understand@39.78-40.32 All content words within 0.59 s of the interval.
ted_0475 [126.24–127.47] near book@125.52-125.66 All content words within 0.58 s of the interval.
ted_0523 [304.69–305.51] near mean@303.48-303.68 All content words within 1.01 s of the interval.
ted_0558 [487.86–488.43] near goes@486.96-487.26 deeper@487.26-487.66 All content words within 0.6 s of the interval.
ted_0591 [661.39–662.77] near solve@661.82-662.16 problem@664.16-664.56 All content words within 1.39 s of the interval.
ted_0599 [700.87–702.72] near won't@701.54-701.70 lonely@701.90-702.12 won't@701.54-701.70 feel@702.58-702.78 like@702.78-702.94 life@702.94-703.08 pointless@703.28-703.60 All content words within 0.56 s of the interval.
ted_0602 [720.06–722.27] far didn't@717.50-717.66 know@717.66-717.78 anything@717.78-718.10 Words end about 2 s before the interval starts; the interval is shared with ted_0603.
ted_0733 [288.18–289.27] near And@287.10-287.26 I@287.26-287.98 All content words within 0.92 s of the interval.
ted_0735 [309.97–310.62] near going@309.02-309.12 explore@309.20-309.64 All content words within 0.85 s of the interval.
ted_0805 [245.36–246.63] near streaming@245.38-245.74 both@246.32-247.00 cheeks@247.26-247.56 All content words within 0.63 s of the interval.
ted_0878 [600.50–603.33] near means@599.04-599.74 citizen@599.74-600.94 negative@602.86-603.32 All content words within 0.76 s of the interval.
ted_0893 [662.35–664.65] asr_unconfirmed cherished: not found ideal@663.66-664.36 ASR hears "cherish" for "cherished" inside the interval.
ted_1160 [414.12–415.28] far moms@408.44-408.74 dads@409.12-409.44 Substantial mismatch: the words are spoken about 5 s before the interval, which is shared with ted_1161 (whose words do match). Flagged.
ted_1215 [18.35–18.82] far first@21.04-21.22 impression@21.22-21.78 Words start about 2 s after the interval ends; the interval is shared with ted_1214.
ted_1285 [386.13–387.21] near eyes@387.88-388.24 All content words within 0.67 s of the interval.
ted_1322 [602.44–604.03] asr_unconfirmed getting@602.08-602.64 good: not found deal@603.02-603.30 ASR hears "big deal" where TED's transcript at the linked time has "good deal" (C).
ted_1338 [671.78–673.11] far just@669.28-669.56 Her@671.14-671.38 "just" is spoken 2.2 s before the interval; this row also carries gesture_not_visible.

17 further rows have their words inside the interval but were flagged by checks A–C:

Row Flags Verdict
ted_0020 clip_offset=-0.5 Words in the interval (D); the original clip file starts 0.5 s before the annotated time (A).
ted_0115 clip_offset=-0.7 Words in the interval (D); the original clip file starts 0.7 s before the annotated time (A).
ted_0142 youtube_local_offset=+0.8 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0234 youtube_local_offset=+0.7 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0280 clip_offset=-0.4 Words in the interval (D); the original clip file starts 0.4 s before the annotated time (A).
ted_0714 youtube_local_offset=+0.9 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0715 youtube_local_offset=+0.7 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0762 youtube_local_offset=-0.6 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0808 youtube_local_offset=+3.0 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0834 youtube_local_offset=-0.6 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0858 youtube_local_offset=-1.3 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0877 youtube_local_offset=-2.1 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0888 youtube_local_offset=+1.3 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_0921 clip_offset=-0.3 Words in the interval (D); the original clip file starts 0.3 s before the annotated time (A).
ted_0943 youtube_local_offset=-0.6 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.
ted_1137 speech_recall=0.00 Words in the interval (D); TED's transcript hyphenates "hyper-activated" (C).
ted_1365 youtube_local_offset=+0.9 Words in the interval (D); nearby preview frames are a static shot, so B cannot pin down timing.