allenai/Molmo2-VideoSubtitleQA
Molmo2-VideoSubtitleQA Molmo2-VideoSubtitleQA is a dataset of multiple-choice video QA that requires both visual content and audio transcript. It can be used to fine-tune vision-language models. Molmo2-VideoSubtitleQA is part of the Molmo2 dataset collection and was used to train the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Data Format Videos are stored as Youtube video ID that will need to be downloaded separately. We provide a… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoSubtitleQA.
| Author / organization | allenai |
|---|---|
| License (as declared) | odc-by |
| Downloads | 191 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 3 December 2025 |
| Last updated at source | 11 February 2026 |
Popularity, last 2 days
191 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- allenai/Molmo2-8BModel · used to train
- allenai/Molmo2-4BModel · used to train
- allenai/Molmo2-O-7BModel · used to train
- mlx-community/Molmo2-8B-4bitModel · used to train
Recent changes
- 16 Oct 2026 Description: Molmo2-VideoSubtitleQA Molmo2-VideoSubtitleQA is a dataset of multiple-choice video QA that requires both visual content and audio transcript. It can be used to fine-tune vision-language models. Molmo2-VideoSubtitleQA is part of the Molmo2 → Molmo2-VideoSubtitleQA Molmo2-VideoSubtitleQA is a dataset of multiple-choice video QA that requires both visual content and audio transcript. It can be used to fine-tune vision-language models. Molmo2-VideoSubtitleQA is part of the Molmo2
Changes detected by Silytics between refreshes of the source.
More from allenai
- allenai/c4Dataset
- allenai/ai2_arcDataset
- allenai/objaverseDataset
- allenai/winograndeDataset
- allenai/openbookqaDataset
- allenai/sciqDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.