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Update README.md
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README.md
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pretty_name: medical-bios
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size_categories:
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- 1K<n<10K
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---
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# Dataset Description
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The dataset comprises English biographies labeled with occupations and binary genders.
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This is an occupation classification task, where bias
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It includes a subset of 10,000 biographies (8k train/1k dev/1k test) targeting 5 medical occupations (psychologist, surgeon, nurse, dentist, physician).
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We collect and release human rationale annotations for a subset of 100 biographies in two different settings: non-contrastive and contrastive.
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In the former, the annotators were asked to find the rationale for the question: "Why is the person in the following short bio described as a L?", where L is the gold label occupation, e.g., nurse.
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In the latter, the question was "Why is the person in the following short bio described as
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# Dataset Structure
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```json
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{
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"text": "He has been a practicing Dentist for 20 years. He has done BDS
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"label": 3,
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}
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```
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pretty_name: medical-bios
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size_categories:
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- 1K<n<10K
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---
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# Dataset Description
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The dataset comprises English biographies labeled with occupations and binary genders.
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This is an occupation classification task, where bias concerning gender can be studied.
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It includes a subset of 10,000 biographies (8k train/1k dev/1k test) targeting 5 medical occupations (psychologist, surgeon, nurse, dentist, physician), derived from De-Arteaga et al. (2019).
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We collect and release human rationale annotations for a subset of 100 biographies in two different settings: non-contrastive and contrastive.
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In the former, the annotators were asked to find the rationale for the question: "Why is the person in the following short bio described as a L?", where L is the gold label occupation, e.g., nurse.
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In the latter, the question was "Why is the person in the following short bio described as an L rather than an F", where F (foil) is another medical occupation, e.g., physician.
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You can read more details on the dataset and the annotation process in the paper [Eberle et al. (2023)](https://arxiv.org/abs/2310.11906).
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# Dataset Structure
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```json
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{
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"text": "He has been a practicing Dentist for 20 years. He has done BDS. He is currently associated with Sree Sai Dental Clinic in Sowkhya Ayurveda Speciality Clinic, Chennai. ... ",
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"label": 3,
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}
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```
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