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adding the bare minimum

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  license: apache-2.0
 
 
 
 
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  license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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  ---
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+ # Dataset Card for Dataset Name
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ This dataset consists of definitions for gender and gender-related terms from congressional bills proposed between January 2021 and November 2023 (US Congress Sessions 117 and 118).
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+ It focuses on bills that feature the term "gender" prominently in the bill title, bill summary, or in the bill text.
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+
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+ ### Dataset Description
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+
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+ <!-- Provide a longer summary of what this dataset is. -->
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+
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+ The dataset contains one column of gender and related terms' definitions.
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+
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+ - **Curated by:** Filipa Calado
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+
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+ <!--
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+ ### Dataset Sources [optional]
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+
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+ Provide the basic links for the dataset.
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ -->
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+
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+ ## Uses
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+
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+ This dataset is intended for studying bias and discrimination associated with gender and related terms.
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+
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+ <!-- Address questions around how the dataset is intended to be used.
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+
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+ ### Direct Use
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+
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+ This section describes suitable use cases for the dataset.
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+
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+ [More Information Needed]
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+ -->
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+
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+ ### Out-of-Scope Use
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+
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+ As the dataset was created to study bias and discrimination in language, it is not appropriate for production or public-facing use, especially without disclosing the intention behind the dataset's curation.
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+ Using the dataset in ways that do not fully disclose its curation rationale and process will can harm groups that are already systematically marginalized.
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+
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+
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+ ## Dataset Structure
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+
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+ The dataset contains one field, `train`.
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+
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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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+ ### Curation Rationale
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+
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+ With the anti-trans attitudes proliferating across the United States, this dataset was created to give researchers a chance to study how gender is being defined in federal legislative contexts.
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+
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+ <!---
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...).
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+
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+ -->
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+
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+ #### Data Collection and Processing
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+
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+ The bills were originally downloaded via the [congress.gov](https://www.congress.gov) website, then processed to extract definitions of gender and related terms.
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+
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+ Then, definitions were culled from the bills by searching for terms such as:
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+ - gender
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+ - biological sex
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+ - transgender
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+ - non-binary
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+ - queer
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+ - lgbtqia+
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+
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+ <!--
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+ #### Who are the source data producers?
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+ This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ This dataset contains views of sex, gender, and sexuality that are non-affirming and harmful.
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+ Usage of this dataset without appropriate context (i.e., using it to share or train a model without disclosing its source and rationale) can exacerbate bias and discrimination toward marginalized groups, especially with regard to gender and gender norms.
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+ Do not use share or use this dataset without disclosing the source data and its curation rationale.
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ <!--
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+ ## Citation [optional]
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+ If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section.
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+
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+ **BibTeX:**
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+ [More Information Needed]
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+ **APA:**
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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+ ## Dataset Card Authors
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+ Filipa Calado
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+
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+ ## Dataset Card Contact
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+
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+ gofilipa at gmail dot com