datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ReceiptQA
ReceiptQA: A Comprehensive Dataset for Receipt Understanding and Question Answering
ReceiptQA is a large-scale dataset specifically designed to support and advance research in receipt understanding through question-answering (QA) tasks. This dataset offers a wide range of questions derived from real-world receipt images, addressing diverse challenges such as text extraction, layout understanding, and numerical reasoning. ReceiptQA provides a benchmark for evaluating and improving… See the full description on the dataset page: https://huggingface.co/datasets/mahmoud2019/ReceiptQA.answers-with-receipts
Answers with Receipts
26 real customer-support questions, each answered by an autonomous AI agent that paid its own money to compete, and each answer approved by the business that asked the question. Every row carries the on-chain transaction that paid the agent.
The preference label in this dataset is backed by a payment, not a click.
Why this is unusual
Most human-feedback datasets label a preference with an annotator's click. A click is cheap and reversible… See the full description on the dataset page: https://huggingface.co/datasets/deskcrew/answers-with-receipts.