Datasets:

gsarch
/

chartqa_500_lite

pretty_name: 'chartqa: 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/chartqa/*.parquet

chartqa: 500-sample lite benchmark

500 evaluation examples sampled with seed 42. Sampling: uniform random rows without replacement.

Sources and attribution

lmms-lab/ChartQA, revision 9e63b7df1592a1c2158e735cc1725454aef0d6d9.

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. This benchmark uses automatic scoring.