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  pretty_name: Folktexts real-world unrealizable classification tasks
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  size_categories:
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  - 1M<n<10M
 
 
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  ---
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- # Dataset Card for `folktexts` <!-- omit in toc -->
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  [Folktexts](https://github.com/socialfoundations/folktexts) is a suite of Q&A
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  datasets with natural outcome uncertainty, aimed at evaluating LLMs' calibration
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  - [Dataset Creation](#dataset-creation)
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  - [Citation](#citation)
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  - [More Information](#more-information)
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- - [Dataset Card Authors](#dataset-card-authors)
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  ## Dataset Details
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  ### Dataset Description <!-- omit in toc -->
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  - **Language(s) (NLP):** English
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- - **License:** Code is licensed under the MIT license; Data license is governed by the U.S. Census Bureau [terms of service](https://www.census.gov/data/developers/about/terms-of-service.html).
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  ### Dataset Sources <!-- omit in toc -->
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  - **Repository:** https://github.com/socialfoundations/folktexts
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- - **Paper:** ["Evaluating language models as risk scores", Cruz et al., NeurIPS 2024.](https://arxiv.org/pdf/2407.14614)
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  - **Data source:** [2018 American Community Survey Public Use Microdata Sample](https://www.census.gov/programs-surveys/acs/microdata/documentation/2018.html)
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  ## Uses
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  ## Dataset Structure
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- <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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-
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  **Description of dataset columns:**
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  - `id`: A unique row identifier.
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  - `description`: A textual description of an individual's features, following a bulleted-list format.
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  ## Citation
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- **BibTeX:**
 
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  ```bib
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  @inproceedings{
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  cruz2024evaluating,
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  ## More Information
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  More information is available in the [`folktexts` package repository](https://github.com/socialfoundations/folktexts)
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- as well as in the [Cruz et al., NeurIPS 2024](https://arxiv.org/pdf/2407.14614).
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- ## Dataset Card Authors
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  [André F. Cruz](https://github.com/andrefcruz)
 
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  pretty_name: Folktexts real-world unrealizable classification tasks
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  size_categories:
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  - 1M<n<10M
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+ paperswithcode_id: folktexts
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+
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  ---
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+ # Dataset Card for _folktexts_ <!-- omit in toc -->
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  [Folktexts](https://github.com/socialfoundations/folktexts) is a suite of Q&A
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  datasets with natural outcome uncertainty, aimed at evaluating LLMs' calibration
 
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  - [Dataset Creation](#dataset-creation)
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  - [Citation](#citation)
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  - [More Information](#more-information)
 
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  ## Dataset Details
 
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  ### Dataset Description <!-- omit in toc -->
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  - **Language(s) (NLP):** English
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+ - **License:** Code is licensed under the [MIT license](https://github.com/socialfoundations/folktexts/blob/main/LICENSE); Data license is governed by the U.S. Census Bureau [terms of service](https://www.census.gov/data/developers/about/terms-of-service.html).
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  ### Dataset Sources <!-- omit in toc -->
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  - **Repository:** https://github.com/socialfoundations/folktexts
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+ - **Paper:** https://arxiv.org/pdf/2407.14614
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  - **Data source:** [2018 American Community Survey Public Use Microdata Sample](https://www.census.gov/programs-surveys/acs/microdata/documentation/2018.html)
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  ## Uses
 
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  ## Dataset Structure
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  **Description of dataset columns:**
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  - `id`: A unique row identifier.
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  - `description`: A textual description of an individual's features, following a bulleted-list format.
 
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  ## Citation
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+ If you find this useful in your research, please consider citing the following paper:
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+
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  ```bib
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  @inproceedings{
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  cruz2024evaluating,
 
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  ## More Information
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  More information is available in the [`folktexts` package repository](https://github.com/socialfoundations/folktexts)
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+ as well as in the [Cruz et al. (NeurIPS 2024)](https://arxiv.org/pdf/2407.14614) paper.
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+ ### Dataset Card Authors <!-- omit in toc -->
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  [André F. Cruz](https://github.com/andrefcruz)