{"work":{"id":"8b49b78c-7e1d-4f57-af10-7c11cd63ff7c","openalex_id":null,"doi":null,"arxiv_id":"2203.10244","raw_key":null,"title":"ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning","authors":null,"authors_text":"Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, Enamul Hoque","year":2022,"venue":"cs.CL","abstract":"Charts are very popular for analyzing data. When exploring charts, people often ask a variety of complex reasoning questions that involve several logical and arithmetic operations. They also commonly refer to visual features of a chart in their questions. However, most existing datasets do not focus on such complex reasoning questions as their questions are template-based and answers come from a fixed-vocabulary. In this work, we present a large-scale benchmark covering 9.6K human-written questions as well as 23.1K questions generated from human-written chart summaries. To address the unique challenges in our benchmark involving visual and logical reasoning over charts, we present two transformer-based models that combine visual features and the data table of the chart in a unified way to answer questions. While our models achieve the state-of-the-art results on the previous datasets as well as on our benchmark, the evaluation also reveals several challenges in answering complex reasoning questions.","external_url":"https://arxiv.org/abs/2203.10244","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-07-04T16:39:57.602645+00:00","pith_arxiv_id":"2203.10244","created_at":"2026-05-10T21:07:31.572508+00:00","updated_at":"2026-07-04T16:39:57.602645+00:00","title_quality_ok":true,"display_title":"ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning","render_title":"ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning"},"hub":{"state":{"work_id":"8b49b78c-7e1d-4f57-af10-7c11cd63ff7c","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":64,"external_cited_by_count":null,"distinct_field_count":6,"first_pith_cited_at":"2023-05-13T11:28:37+00:00","last_pith_cited_at":"2026-06-25T17:29:27+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-08-21T21:09:49.449442+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"dataset","n":11},{"context_role":"background","n":10}],"polarity_counts":[{"context_polarity":"background","n":11},{"context_polarity":"use_dataset","n":10}],"runs":{},"summary":{},"graph":{},"authors":[]}}