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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ configs:
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+ - config_name: words
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+ data_files:
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+ - split: words
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+ path: words.parquet
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+ - config_name: associations
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+ data_files:
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+ - split: associations_weat
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+ path: associations_weat.parquet
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+ - config_name: associations_wefat
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+ data_files:
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+ - split: associations_wefat
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+ path: associations_wefat.parquet
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+ ---
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+
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+ # Usage
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+
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+ When downloading, specify which files you want to download and set the split to `train` (required by `datasets`).
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ words = load_dataset("fairnlp/weat", data_files=["words.parquet"], split="train")
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+ associations = load_dataset("fairnlp/weat", data_files=["associations_weat.parquet"], split="train")
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+ ```
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+
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+ # Dataset Card for Word Embedding Association Test (WEAT)
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+
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+ This dataset contains the source words of the original Word Embedding Association Test (WEAT) as
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+ described [by Caliskan et. al. (2016)](https://arxiv.org/abs/1608.07187).
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+
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+ ## Dataset Details
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+
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+ The dataset contains word lists and attribute lists used to compute several WEAT scores for different embedding
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+ associations. For details on the methodology, please refer to the original paper. This dataset is contributed to Hugging
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+ Face as part of the WEAT implementation in the [FairNLP `fairscore` library](https://github.com/FairNLP/fairscore/).
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+
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+ ### Dataset Sources
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+
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+ - **Paper [optional]:** lcs.bath.ac.uk/~jjb/ftp/CaliskanSemantics-Arxiv.pdf
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+
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+ **BibTeX:**
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+
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+ ```bibtex
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+ @article{DBLP:journals/corr/IslamBN16,
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+ author = {Aylin Caliskan Islam and
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+ Joanna J. Bryson and
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+ Arvind Narayanan},
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+ title = {Semantics derived automatically from language corpora necessarily
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+ contain human biases},
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+ journal = {CoRR},
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+ volume = {abs/1608.07187},
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+ year = {2016},
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+ url = {http://arxiv.org/abs/1608.07187},
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+ eprinttype = {arXiv},
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+ eprint = {1608.07187},
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+ timestamp = {Sat, 23 Jan 2021 01:20:12 +0100},
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+ biburl = {https://dblp.org/rec/journals/corr/IslamBN16.bib},
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+ bibsource = {dblp computer science bibliography, https://dblp.org}
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+ }
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+ ```
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+
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