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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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# Usage |
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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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```python |
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from datasets import load_dataset |
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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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# Dataset Card for Word Embedding Association Test (WEAT) |
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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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## Dataset Details |
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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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### Dataset Sources |
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- **Paper [optional]:** lcs.bath.ac.uk/~jjb/ftp/CaliskanSemantics-Arxiv.pdf |
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**BibTeX:** |
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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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