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README.md
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---
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license: cc0-1.0
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language: [en]
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task_categories: [text-retrieval, automatic-speech-recognition]
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size_categories: [100K<n<1M]
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tags: [legal, law, oral-arguments, court-audio, transcripts, us-courts, public-domain, rag]
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pretty_name: US Court Oral Arguments (metadata + transcripts)
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---
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# US Court Oral Arguments -- metadata and transcripts
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**103,226 oral-argument recordings** from U.S. courts (federal appellate, state supreme and appellate,
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and others), catalogued by the Free Law Project / CourtListener. This dataset holds the **metadata and
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machine transcripts** -- case name, court, date, duration, the original court audio URL, and the
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speech-to-text transcript where one exists -- NOT the multi-terabyte audio itself, which stays on each
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court's media server (the download_url on every row).
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Sliced from the CourtListener bulk export of 2026-06-30.
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## A row holds
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Court, case name, docket, date argued, duration, the court download_url for the MP3, and the STT
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transcript plus its status. Oral argument is a distinct legal source: it shows how the judges actually
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probed the case, often revealing reasoning the written opinion omits.
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## Load it
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```python
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from datasets import load_dataset
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ds = load_dataset("docketx/oral-arguments-us")
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```
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Public-domain court records. Part of the DocketX open legal corpus (docketx.ai), alongside
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docketx/us-caselaw and the per-jurisdiction docketx/us-caselaw-* sets.
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