Dataset Viewer
Auto-converted to Parquet Duplicate
id
stringlengths
14
16
1cc162c590dc-12
1cc162c590dc-14
1cc162c590dc-23
1e9591008a0d-81
7fb2b0e77c2e-64
eda13bc934dd-25
57cab2a92c69-43
57cab2a92c69-142
e64b379cc5f8-18
607852ae99dd-20
ef52bca1a454-48
ce825058c63e-10
8c94dca71c3c-75
8c94dca71c3c-81
83326b7bbc9c-204
8e2d24eb5abf-33
29e7bf42fd88-133
hM959_pXlrE--112
S5iuebvtDu0--1
S5iuebvtDu0--16
S5iuebvtDu0--137
NoVPRWXWUZE--94
NoVPRWXWUZE--107
soTXzil_LzI--68
Vbeiz94SyEI--140
LjnS-cnPY0I--15
LjnS-cnPY0I--28
LjnS-cnPY0I--75
LjnS-cnPY0I--82
LjnS-cnPY0I--114
LjnS-cnPY0I--143
LjnS-cnPY0I--149
LjnS-cnPY0I--219
LjnS-cnPY0I--250
Nn9spzBqmMs--1
Nn9spzBqmMs--120
9bxtIE0Tygg--50
iMlR4QLSWok--255
iMlR4QLSWok--258
6dvgNioTESo--179
DG6Bx2bDqFM--72
0RgZOhOoZpc--87
0RgZOhOoZpc--90
7CuBSDLjfIo--64
7CuBSDLjfIo--70
7CuBSDLjfIo--77
7CuBSDLjfIo--79
dht7S24Zauk--132
jWhxkVoqig8--135
zMC0dTOVeUA--63
zMC0dTOVeUA--69
zMC0dTOVeUA--71
zMC0dTOVeUA--77
R5xjlITOxCY--165
OYiDPoyylNQ--37
Rblg5TE6TI0--4
ZgLAbuVYfhM--15
HYHu1YhTbwg--3
9Ggh0qEfc04--14
ewfwZAqk2jY--37
uOXJ6ejb9GY--3
-hpbvSjpEiY--88
-hpbvSjpEiY--103
-hpbvSjpEiY--105
-hpbvSjpEiY--113
-hpbvSjpEiY--115
-hpbvSjpEiY--117
-hpbvSjpEiY--152
IykCj1JGO5A--239
hb35dNBjlqc--2

GloSL — ISLTranslate / iSign (Indian Sign Language)

Part of GloSL, a set of continuous sign language translation corpora in one format.

  • Sign language: Indian Sign Language (ISL) (ins)
  • Spoken language: English (en)
  • Domain: web videos (news, education, stories) with English text
  • Samples: 126,846 (269.03 h) — splits {'train': 101481, 'dev': 12683, 'test': 12682}
  • Split policy: glosl-splits-v1, glosl — GloSL-defined (grouped_topic): Source-video-disjoint, topic-stratified: TF-IDF + k-means topic per source video, StratifiedGroupKFold over videos. Replaces the GloSL v0.2 row-level split, where 98% of test clips shared a video with train. (see card.json and diagnostics/)
  • License: CC BY-NC 4.0 (README) — public; source: https://github.com/exploration-lab/isltranslate
  • Cite: iSign (Joshi et al., Findings of ACL 2024, aclanthology.org/2024.findings-acl.643); ISLTranslate (Findings of ACL 2023, 2023.findings-acl.665); CISLR (EMNLP 2022, 2022.emnlp-main.707); PoseStitch-SLT (EMNLP 2025, 2025.emnlp-main.698); WSLP 2025 overview (2025.wslp-main.1)

Files

annotations.csv, card.json, poses/<NNNN>/<id>.pose. card.json holds the full provenance.

annotations.csv columns (same in every GloSL dataset; empty when not applicable): id, split, text, gloss, gloss_type, signer, start, end, fps, n_frames, video_ref, pose_file, video_file.

Poses

mediapipe-holistic, 543 points (POSE_LANDMARKS 33, FACE_LANDMARKS 468, LEFT_HAND_LANDMARKS 21, RIGHT_HAND_LANDMARKS 21), 3D. Coordinates: pixels of the frame the pose refers to (header width x height, depth 0); z raw. Confidence: body = MediaPipe visibility (1.0 where the source shipped none); face/hands 1 when detected; missing point = (0,0,0) with confidence 0. Frame rate: native, per file (also in annotations.csv). Normalization (glosl-norm-v1) is applied at load time, not stored. Note: reused from slt_datasets MediaPipe-Holistic .npy (KB/12); normalization applied at LOAD time (KB/05)

Downloads last month
65