cheaptrix/MTSUFall2024SoftwareEngineering
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for Dataset Name
This dataset contains bills and provided summaries of United States Senate and House bills from the 113th - 118th Congress. This dataset is specifically formatted to be used in the fine tuning of Google's T5 Model.
Dataset Details
Dataset Description
This dataset contains bills and provided summaries of United States Senate and House bills from the 113th - 118th Congress. This dataset is specifically formatted to be used in the fine tuning of Google's T5 Model. The data has been preprocessed, cleaned, and ready to use for the model.
- Curated by: CheapTrix
- Funded by [optional]: None
- Shared by [optional]: None
- Language(s) (NLP): Python
- License: Apache 2.0
Dataset Sources [optional]
- Repository: https://www.govinfo.gov/bulkdata/
- Paper [optional]: None
- Demo [optional]: None
Uses
Direct Use
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Out-of-Scope Use
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Dataset Structure
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Dataset Creation
Curation Rationale
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Source Data
Bulk data repository for the United States Congress.
Data Collection and Processing
Data was downloaded locally and preprocessed using a custom Python function.
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Who are the source data producers?
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Annotations [optional]
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
No personal data is within this dataset. This is all publically accessible data
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Bias, Risks, and Limitations
There are many more House bills than there are Senate bills. The split is roughly 66/33.
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Recommendations
No known risks associated with this dataset.
Citation [optional]
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