Datasets › ShARC

ShARC (Shaping Answers with Rules through Conversation)

Introduced by Marzieh Saeidi et al. in Interpretation of Natural Language Rules in Conversational Machine Reading1 Jan 2018 archive 2025-07-28

ShARC is a Conversational Question Answering dataset focussing on question answering from texts containing rules.

Source: ShARC Image Source: https://arxiv.org/abs/1809.01494

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 43 papers for it but never published that list.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-SA 3.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ShARC

1 variant name, as the archive lists them.

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