Datasets › ConvFinQA

ConvFinQA (Conversational Finance Question Answering)

Introduced by Zhiyu Chen et al. in ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering7 Oct 2022 archive 2025-07-28

ConvFinQA is a dataset designed to study the chain of numerical reasoning in conversational question answering. The dataset contains 3892 conversations containing 14115 questions where 2715 of the conversations are simple conversations, and the rest 1,177 are hybrid conversations.

Source: ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Image Source: https://arxiv.org/pdf/2210.03849.pdf

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Question Answering ConvFinQA GPT-4 (8k) Execution Accuracy 76.48 Are ChatGPT and GPT-4 General-Purpose Solvers for... — 3 Compare
Conversational Question Answering ConvFinQA APOLLO Execution Accuracy 78.76 APOLLO: An Optimized Training Approach for Long-form... gasolsun36/iter-cot +2 2 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 38. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ConvFinQA

1 variant name, as the archive lists them.

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