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Data · dataset · 2016

AmazonQA

Listed in BERD@NFDI Data Portal

The AmazonQA dataset is a large‑scale, review‑based question‑answering collection built on the Amazon product and QA corpora, containing 923 k questions, 3.6 M answers, and 14 M review snippets drawn from 156 k products.

Description

Each entry is stored in JSON‑L format and includes the question text, question type (yes/no or descriptive), answer texts with helpfulness counts, product identifiers, category labels, and an answerability flag indicating whether the question can be answered from the available reviews.

The repository provides preprocessing pipelines for multiple data configurations, analysis notebooks, and reference implementations of the baseline models described in the accompanying paper.

Links

Where it is published

Catalogue records · 1

Topics

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Provenance · 1 source records, 12 field assertions
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BERD@NFDI Data Portalm31kq-ed17912 d agoJSON v1
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concepts[modality].local:modality:textenrichment · berd platform dekeyword-concept-rules@1.0.0title+description (75%)
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concepts[topic].invenio_subject:berd_platform_de:product-testingsource · berd platform deconnector:berd_platform_de@1.0.0
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