Datasets:
video_id stringlengths 13 16 | split stringclasses 1
value | text stringlengths 62 223 | frame_files_json stringlengths 173 3.4k | groups_json stringlengths 330 15.2k | span_links_json stringlengths 166 2.18k | tracklets_json stringlengths 12.1k 2.24M | actions_json stringlengths 2 3.86k |
|---|---|---|---|---|---|---|---|
0_wHveSGjXyDY | train | "A white-capped man leans over a metal assembly and hammers it. He then straightens. Three other peo(...TRUNCATED) | "[\"JPEGImages/0_wHveSGjXyDY/00000166.jpg\",\"JPEGImages/0_wHveSGjXyDY/00000169.jpg\",\"JPEGImages/0(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":4,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A wh(...TRUNCATED) | "[{\"start\":0,\"end\":18,\"text\":\"A white-capped man\",\"group_ids\":[0],\"tracklet_ids\":[\"vipo(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0002\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"2(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"leans\",\"action_span\":[19,24],\"action_spans\":[[19,24]],\"ac(...TRUNCATED) |
1_6af8YrET3hs | train | "An airliner is stationary on a divided highway beside several cars. A red SUV drives away. Two cars(...TRUNCATED) | "[\"JPEGImages/1_6af8YrET3hs/00004240.jpg\",\"JPEGImages/1_6af8YrET3hs/00004243.jpg\",\"JPEGImages/1(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":10,\"category\":\"airplane\",\"isthing\":1,\"mentions\":[{\"text\":\"A(...TRUNCATED) | "[{\"start\":0,\"end\":11,\"text\":\"An airliner\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-001(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"drives\",\"action_span\":[78,84],\"action_spans\":[[78,84]],\"a(...TRUNCATED) |
4_X9nPISgpz9Q | train | "A blue sedan drives along a highway at night. It remains behind two smaller cars traveling farther (...TRUNCATED) | "[\"JPEGImages/4_X9nPISgpz9Q/00001390.jpg\",\"JPEGImages/4_X9nPISgpz9Q/00001393.jpg\",\"JPEGImages/4(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":6,\"category\":\"car\",\"isthing\":1,\"mentions\":[{\"text\":\"A blue (...TRUNCATED) | "[{\"start\":0,\"end\":12,\"text\":\"A blue sedan\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-00(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0003\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"3(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"drives\",\"action_span\":[13,19],\"action_spans\":[[13,19]],\"a(...TRUNCATED) |
5_akdZwWbphzI | train | A woman twirls beside a truck on rocky ground. She steps forward. Two men stand beside the truck. | "[\"JPEGImages/5_akdZwWbphzI/00000745.jpg\",\"JPEGImages/5_akdZwWbphzI/00000748.jpg\",\"JPEGImages/5(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":7,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A wo(...TRUNCATED) | "[{\"start\":0,\"end\":7,\"text\":\"A woman\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-0007\"]}(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"twirls\",\"action_span\":[8,14],\"action_spans\":[[8,14]],\"act(...TRUNCATED) |
5_Yb4AMwr0vNE | train | "A red-shirted man operates a machine in a grassy field. He straightens beside it as a dark-shirted (...TRUNCATED) | "[\"JPEGImages/5_Yb4AMwr0vNE/00007367.jpg\",\"JPEGImages/5_Yb4AMwr0vNE/00007370.jpg\",\"JPEGImages/5(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":6,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A re(...TRUNCATED) | "[{\"start\":0,\"end\":17,\"text\":\"A red-shirted man\",\"group_ids\":[0],\"tracklet_ids\":[\"vipos(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"operates\",\"action_span\":[18,26],\"action_spans\":[[18,26]],\(...TRUNCATED) |
6_qHIKRwYe3Cs | train | "A person leans over shallow water. They repeatedly separate seedlings from a bundle and plant them (...TRUNCATED) | "[\"JPEGImages/6_qHIKRwYe3Cs/00007457.jpg\",\"JPEGImages/6_qHIKRwYe3Cs/00007460.jpg\",\"JPEGImages/6(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":4,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A pe(...TRUNCATED) | "[{\"start\":0,\"end\":8,\"text\":\"A person\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-0004\"](...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"leans\",\"action_span\":[9,14],\"action_spans\":[[9,14]],\"acti(...TRUNCATED) |
7_iAxCcecVaig | train | "A bus drives away along a winding road. Two people sit on top of it. It turns right near a small ho(...TRUNCATED) | "[\"JPEGImages/7_iAxCcecVaig/00001825.jpg\",\"JPEGImages/7_iAxCcecVaig/00001828.jpg\",\"JPEGImages/7(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":6,\"category\":\"bus\",\"isthing\":1,\"mentions\":[{\"text\":\"A bus\"(...TRUNCATED) | "[{\"start\":0,\"end\":5,\"text\":\"A bus\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-0006\"]},{(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0003\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"3(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"drives\",\"action_span\":[6,12],\"action_spans\":[[6,12]],\"act(...TRUNCATED) |
7_mmVFhlPeNsI | train | "A girl sits in a sandbox beside a seated boy. She turns a colorful ball and slides a toy through th(...TRUNCATED) | "[\"JPEGImages/7_mmVFhlPeNsI/00000466.jpg\",\"JPEGImages/7_mmVFhlPeNsI/00000469.jpg\",\"JPEGImages/7(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":7,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A gi(...TRUNCATED) | "[{\"start\":0,\"end\":6,\"text\":\"A girl\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-0007\"]},(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0003\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"3(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"sits\",\"action_span\":[7,11],\"action_spans\":[[7,11]],\"actio(...TRUNCATED) |
8_xvuMpTTiXaU | train | "Two riders ride motorcycles along a divided highway. Two trucks approach from the opposite directio(...TRUNCATED) | "[\"JPEGImages/8_xvuMpTTiXaU/00000460.jpg\",\"JPEGImages/8_xvuMpTTiXaU/00000463.jpg\",\"JPEGImages/8(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":10,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"Two(...TRUNCATED) | "[{\"start\":0,\"end\":10,\"text\":\"Two riders\",\"group_ids\":[0,1],\"tracklet_ids\":[\"viposeg-00(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"ride\",\"action_span\":[11,15],\"action_spans\":[[11,15]],\"act(...TRUNCATED) |
9_-S4oaoKp0ak | train | "A rider rides a brown horse across the grass. Two loose horses run alongside them. Another brown ho(...TRUNCATED) | "[\"JPEGImages/9_-S4oaoKp0ak/00001795.jpg\",\"JPEGImages/9_-S4oaoKp0ak/00001798.jpg\",\"JPEGImages/9(...TRUNCATED) | "[{\"group_id\":0,\"mark_id\":5,\"category\":\"person\",\"isthing\":1,\"mentions\":[{\"text\":\"A ri(...TRUNCATED) | "[{\"start\":0,\"end\":7,\"text\":\"A rider\",\"group_ids\":[0],\"tracklet_ids\":[\"viposeg-0005\"]}(...TRUNCATED) | "[{\"tracklet_id\":\"viposeg-0001\",\"source\":\"dataset_segmentation\",\"source_annotation_id\":\"1(...TRUNCATED) | "[{\"action_id\":0,\"action_text\":\"rides\",\"action_span\":[8,13],\"action_spans\":[[8,13]],\"acti(...TRUNCATED) |
VIPOSeg Grounded Captions and Action Temporal Annotations
This dataset extends VIPOSeg with grounded video captions, exact text-span-to-object correspondences, entity coreference groups, and action temporal annotations. Each row represents one TRAIN video and its complete caption, containing multiple entities and actions.
The release includes all 2,801 TRAIN videos in an eight-column annotation table. The manifest records export counts and format conventions. VAL records are not included.
Repository layout
| Path | Contents | Rows | Status |
|---|---|---|---|
train/verification.parquet |
TRAIN captions, entity groups, object masks, exact span links, actions, and temporal segments | 2,801 | Annotation table |
train/manifest.json |
Export counts, provenance, checksums, and coordinate conventions | — | Export manifest |
README.md |
Dataset description and annotation format | — | Dataset card |
The original TRAIN split is preserved. Rows follow ascending natural video-ID order.
Export statistics
| Item | Count |
|---|---|
| Video/caption rows | 2,801 |
| Original stored frame references | 66,942 |
| Entity groups | 19,299 |
| Object tracklets | 19,297 |
| Present object masks | 390,501 |
| Unique text-span links | 16,352 |
| Actions | 6,987 |
| Temporal segments | 7,531 |
| Actions with multiple segments | 407 |
Unique span links can refer to several groups and tracklets, for example when a collective phrase identifies multiple people. Counts of groups, spans, and tracks therefore need not be equal.
Parquet schema
Each row contains exactly the following eight columns. Nested JSON values are serialized as strings for portable Parquet and browser handling.
| Column | Contents |
|---|---|
video_id |
Original video identifier |
split |
train |
text |
Complete caption |
frame_files_json |
Ordered relative paths to all original stored 5 FPS frames |
groups_json |
Entity groups, mentions, exact character spans, grounding metadata, and tracklet references |
span_links_json |
Exact text spans and their group/tracklet correspondences |
tracklets_json |
Source object identities and COCO compressed RLE masks aligned with the frame list |
actions_json |
Action text/spans, type, mentions, subject/object references, confidence, and temporal segments |
Entity and tracklet links
Entity groups retain the original identifiers, category, and mention structure. The following fields describe the group and its grounding:
| Field | Meaning |
|---|---|
group_id |
Original numeric entity-group identifier within the video |
mark_id |
Original source object identifier; null for an explicitly ungrounded group |
category |
Entity category |
mentions |
Mention texts, exact character spans, and associated mention metadata |
tracklet_ids |
Corresponding object-tracklet identifiers; an empty list for explicitly ungrounded groups |
A grounded source object has a video-local tracklet identifier. For example:
viposeg-0002
Tracklet identifiers are scoped by the video identifier. They are not globally unique across videos.
Each span link contains these fields:
| Field | Meaning |
|---|---|
start |
Inclusive starting character offset |
end |
Exclusive ending character offset |
text |
Exact caption substring at those offsets |
group_ids |
Entity groups associated with the text span |
tracklet_ids |
Object tracklets associated with the text span |
A shared span can link to multiple objects. Body-part groups can overlap a person's possessive mention in text while retaining a distinct entity identity.
Coreferent mentions are grouped together. The following examples represent different caption contexts:
| Example entity group | Mentions assigned to that group |
|---|---|
| Book | “a book”, first “it”, second “it” |
| Person | “A man”, “He”, “his” |
| Right hand | “his right hand”, the “it” referring to that hand |
The person and right-hand groups are distinct. The two explicitly ungrounded groups in this release retain their text identity and have no mask tracklet.
Object masks and frame paths
The source object ID is the same ID used by the caption-grounding marks. Only objects referenced by entity groups are included as tracklets. TRAIN category labels use a derived object-to-category mapping; they are not official category annotations.
All 66,942 stored source-frame references are included in their original order. Every tracklet has one mask entry per frame:
| Object visibility | Mask entry |
|---|---|
| Present in the frame | A COCO compressed RLE mask |
| Absent from the frame | null |
The masks are embedded in the Parquet. Source annotation files use this path pattern:
Annotations/<video_id>/<source_frame>.png
Original RGB images are not bundled. Use the original TRAIN directory as the media root. Source-image references use this relative path pattern:
JPEGImages/<video_id>/<filename>.jpg
For example:
JPEGImages/608_eollizcRpgQ/00001098.jpg
Actions and temporal segments
Each action retains its text, character spans, action type, component mentions, subject, objects, and temporal segments. Key fields include:
| Field | Meaning |
|---|---|
action_id |
Numeric action identifier within the video |
action_text |
Action text |
action_span / action_spans |
Action character span and component spans |
subject / objects |
Participants with their individual texts, spans, and group IDs |
subject_group_ids / object_group_ids |
Aggregated participant group references |
segments |
Separate temporal intervals using original frame numbers |
Multiple objects keep their individual participant records. Discontinuous action text retains its component spans and particle.
The following action has two temporal segments. Its identifying fields are:
| Item | Value |
|---|---|
| Video | 0_wHveSGjXyDY |
| Action | hammers |
Only the identifying and temporal fields are shown below:
{
"action_id": 1,
"action_text": "hammers",
"segments": [
{"start_frame": 217, "end_frame": 238},
{"start_frame": 259, "end_frame": 262}
]
}
Character spans use zero-based, half-open offsets:
[start, end)
Action-frame intervals use original image filename numbers and include both endpoint frames. For example:
| Original frame number | Corresponding image filename |
|---|---|
| 217 | 00000217.jpg |
This number is an original filename identifier, not a list position or a sampled-frame label.
Original frame numbers may have gaps. An interval describes the included frames in the ordered source-frame list, not a requirement that every intervening integer have an image. Separate segments are preserved rather than collapsed into a single interval. Action intervals do not expose seconds, 5 FPS sequence positions, or temporal-source fields.
Data sources
This is a derived annotation release based on VIPOSeg media and its associated segmentation annotations. Caption, entity-linking, action, and temporal annotations are additions to the original dataset annotations. Users should consult the original dataset's access, citation, and licensing terms when obtaining or using its media and annotations.
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