Datasets:
| pretty_name: 'simplevqa: 500-sample lite evaluation' | |
| task_categories: | |
| - visual-question-answering | |
| size_categories: | |
| - n<1K | |
| tags: | |
| - benchmark | |
| - lite | |
| - reproducible-subset | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/simplevqa_en/*.parquet | |
| # simplevqa: 500-sample lite benchmark | |
| 500 evaluation examples sampled with seed **42**. Sampling: uniform random rows without replacement. | |
| ## Sources and attribution | |
| - [gsarch/SimpleVQA-EN](https://huggingface.co/datasets/gsarch/SimpleVQA-EN/tree/9f8bc1d1792667a8b29fda77726061acce3a3401), revision `9f8bc1d1792667a8b29fda77726061acce3a3401`. | |
| Original dataset and source-image terms apply; this subset does not relicense them. See the linked upstream datasets for their license and citation information. | |
| ## Reproducibility | |
| `subset.json` records the pinned sources, selected source indices, decoded-image/label hashes, native task configurations, seed, and sampling procedure. `_lite_source_index` and `_lite_task_id` identify each example in its prepared source split. Image bytes are embedded in the Parquet files; no cluster paths are required. Original pixels, questions, reference labels, and scoring fields are preserved. | |
| This is an evaluation subset. Its scores are not full-benchmark scores. Use the native benchmark metrics from [foveated_vlm](https://github.com/Gabesarch/foveated_vlm). This benchmark requires judge scoring and is excluded from the judge-free lite suite. | |