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mteb/NanoHotpotQARetrieval

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Possible licence conflict

The declared licence (cc-by-4.0) may conflict with a source dataset's reported share-alike licence (cc-by-sa-4.0).

Declared licence: cc-by-4.0, from the tagEvidence: README.md at a38a261
Licence files: No licence file at the top level of the repositoryEvidence: file list at a38a261
Declared sources: 1
Access gated on Hugging Face: No

Red marks the licence the signal is based on. Each cell links to what was checked: a file, a file list or a Hub record.

Sources listed in the card metadata

mteb/hotpotqacc-by-sa-4.0Share-alikeEvidence: README.md at 60b39fa

Tasks

text-retrieval

Citation text from the card

@inproceedings{yang-etal-2018-hotpotqa,
  abstract = {Existing question answering (QA) datasets fail to train QA systems to perform complex reasoning and provide explanations for answers. We introduce HotpotQA, a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowing QA systems to reason with strong supervision and explain the predictions; (4) we offer a new type of factoid comparison questions to test QA systems{'} ability to extract relevant facts and perform necessary comparison. We show that HotpotQA is challenging for the latest QA systems, and the supporting facts enable models to improve performance and make explainable predictions.},
  address = {Brussels, Belgium},
  author = {Yang, Zhilin  and
Qi, Peng  and
Zhang, Saizheng  and
Bengio, Yoshua  and
Cohen, William  and
Salakhutdinov, Ruslan  and
Manning, Christopher D.},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  doi = {10.18653/v1/D18-1259},
  editor = {Riloff, Ellen  and
Chiang, David  and
Hockenmaier, Julia  and
Tsujii, Jun{'}ichi},
  month = oct # {-} # nov,
  pages = {2369--2380},
  publisher = {Association for Computational Linguistics},
  title

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dataset_licence({ "id": "mteb/NanoHotpotQARetrieval" })
signal: "conflict"
stated_licence: "cc-by-4.0"
sources: 1