INSAIT-Institute/TRAVL
TRAVL: Trajectory-Aware Video-Language Finetuning Dataset TRAVL is a finetuning dataset of short real vs implausible videos with targeted Q/A annotations probing physical plausibility (e.g., object permanence, collisions, shadows, trajectory consistency). Repository layout Data schema (current JSON) TRAVL_QA.json is a JSON list. Each item: { "id": "video_000", "video": "video_000.mp4", "conversations": [ {"from": "human", "value":… See the full description on the dataset page: https://huggingface.co/datasets/INSAIT-Institute/TRAVL.
| Author / organization | INSAIT-Institute |
|---|---|
| License (as declared) | mit |
| Downloads | 652 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 October 2025 |
| Last updated at source | 7 October 2025 |
Recent changes
- 16 Oct 2026 Description: TRAVL: Trajectory-Aware Video-Language Finetuning Dataset TRAVL is a finetuning dataset of short real vs implausible videos with targeted Q/A annotations probing physical plausibility (e.g., object permanence, collisions, shadows, trajector → TRAVL: Trajectory-Aware Video-Language Finetuning Dataset TRAVL is a finetuning dataset of short real vs implausible videos with targeted Q/A annotations probing physical plausibility (e.g., object permanence, collisions, shadows, trajector
Changes detected by Silytics between refreshes of the source.
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