| --- |
| license: apache-2.0 |
| task_categories: |
| - translation |
| - video-classification |
| language: |
| - vi |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "data/shard_*-train.parquet" |
| --- |
| # TriViS-MediaPipe |
|
|
| MediaPipe Holistic 3D keypoints extracted from **TriViS**, a continuous Vietnamese Sign Language video dataset (~84.5k videos, 12,000 sentences, 3 synchronized camera views). |
|
|
| ## Dataset overview |
|
|
| - **Views**: every take is recorded by 3 cameras (`front`, `left`, `right`). `group4` file names say `center` for the front camera; the `view` field always uses the CSV value. |
| - **Scenes** (metadata field `scene`): |
| - `lab`: 72,453 clips (24,151 takes × 3 views) of 12,000 sentences recorded in a studio, all 4 signer groups. Includes 108 `group3` recordings named `*_abnormal.mp4`, flagged `"abnormal": true`. |
| - `real`: 12,000 clips (4,000 takes × 3 views) of 4,000 sentences recorded in real-life indoor/outdoor settings, 3,000 clips per group. |
| - **Annotations**: Vietnamese sentence (`Sentence`), sign-order gloss sequence (`Sign_sentence`, `|`-separated) and one of 10 categories. |
|
|
| All clips are in a single `train` split; build your own train/val/test split from the metadata. |
|
|
| > [!IMPORTANT] |
| > All 4,000 `real` sentences also appear in `lab` (same text and `id_sentence`), and each take has 3 views. |
| > To evaluate on unseen sentences, split by `id_sentence`; to avoid view leakage, keep the 3 views of a take |
| > (same `scene` and `id_video`) in the same split. |
| |
| ## Splits |
| |
| | Split | Labeled rows | Found | Missing | Extracted (uploaded) | Failed / empty | |
| | :--- | ---: | ---: | ---: | ---: | ---: | |
| | `train` | 84,453 | — | — | 6,000 (extraction in progress) | — | |
| |
| ## Columns |
| |
| | Column | Type / shape | Description | |
| | :--- | :--- | :--- | |
| | `pose_pts` | `float32[T, 33, 3]` | Normalized 3D body pose landmarks (`x, y, z`). | |
| | `pose_conf` | `float32[T, 33]` | Per-landmark visibility (`0.0` when missing). | |
| | `face_pts` | `float32[T, 478, 3]` | Normalized 3D face mesh landmarks (incl. iris). | |
| | `face_conf` | `float32[T, 478]` | `1.0` when the face is detected in the frame, else `0.0`. | |
| | `left_hand_pts` | `float32[T, 21, 3]` | Normalized 3D left-hand landmarks. | |
| | `left_hand_conf` | `float32[T, 21]` | `1.0` when the left hand is detected, else `0.0`. | |
| | `right_hand_pts` | `float32[T, 21, 3]` | Normalized 3D right-hand landmarks. | |
| | `right_hand_conf` | `float32[T, 21]` | `1.0` when the right hand is detected, else `0.0`. | |
| | `transcript` | `string` | Vietnamese sentence (NFC-normalized, whitespace-cleaned). | |
| | `fps` | `float32` | Video frame rate (OpenCV). | |
| | `duration` | `int32` | Number of decoded frames `T`. | |
| | `key` | `string` | `train/<Sentence_video_path>`; unique. | |
| | `metadata` | `string` | JSON object, fields below. | |
|
|
| ## Metadata fields |
|
|
| | Field | Type | Description | |
| | :--- | :--- | :--- | |
| | `split` | `string` | Always `"train"`. | |
| | `scene` | `string` | `"lab"` or `"real"`. | |
| | `filename` | `string` | Video file name. | |
| | `video_path` | `string` | `Sentence_video_path` from the label CSV (relative to the TriViS root). | |
| | `id_video` | `int` | Take ID (`ID_video`): the same for the 3 views of a take, unique per take within a scene (not across scenes). | |
| | `id_sentence` | `int` | Sentence ID (`ID_sentence`); shared between `lab` and `real`. | |
| | `group` | `string` | Signer group (`"group1"`–`"group4"`). | |
| | `view` | `string` | `"front"`, `"left"` or `"right"`. | |
| | `video_belong_id` | `int` | `video_belong_id` column from the label CSV, kept verbatim. | |
| | `sentence` | `string` | Cleaned Vietnamese sentence. | |
| | `sign_sentence` | `string` | Gloss sequence as in the CSV (`|`-separated, NFC-normalized). | |
| | `glosses` | `list[string]` | `sign_sentence` split on `|`. | |
| | `category` | `string` | One of the 10 categories (case variants in the CSVs are unified). | |
| | `abnormal` | `bool` | File name ends with `_abnormal.mp4`. | |
| | `fps` | `float` | Video frame rate. | |
| | `total_frames` | `int` | Number of decoded frames. | |
|
|
| ## Categories |
|
|
| Stored in [`categories.json`](categories.json); the original label CSVs are under [`labels/`](labels/). |
|
|
| - `Cuộc sống thường nhật` |
| - `Mối quan hệ` |
| - `Công việc` |
| - `Du lịch` |
| - `Cuộc sống học đường` |
| - `Sức khỏe` |
| - `Thái độ và Cảm xúc` |
| - `Tài chính` |
| - `Chính trị` |
| - `Văn hóa và Giáo dục` |
|
|
| ## Usage |
|
|
| ```python |
| import json |
| from datasets import load_dataset |
| |
| ds = load_dataset("Haloroute/TriViS-MediaPipe", split="train") |
| sample = ds[0] |
| meta = json.loads(sample["metadata"]) |
| print(sample["transcript"], sample["duration"], meta["scene"], meta["view"], meta["glosses"]) |
| ``` |
|
|
