Datasets:
card
Browse files
README.md
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc0-1.0
|
| 3 |
+
language: [en]
|
| 4 |
+
task_categories: [text-retrieval, tabular-classification]
|
| 5 |
+
tags: [legal, law, judges, judiciary, us-courts, public-domain, judicial-analytics]
|
| 6 |
+
pretty_name: US Judges (CourtListener people database)
|
| 7 |
+
configs:
|
| 8 |
+
- config_name: judges
|
| 9 |
+
data_files: data/judges/judges.jsonl.gz
|
| 10 |
+
default: true
|
| 11 |
+
- config_name: positions
|
| 12 |
+
data_files: data/positions/positions.jsonl.gz
|
| 13 |
+
- config_name: educations
|
| 14 |
+
data_files: data/educations/educations.jsonl.gz
|
| 15 |
+
- config_name: schools
|
| 16 |
+
data_files: data/schools/schools.jsonl.gz
|
| 17 |
+
- config_name: political_affiliations
|
| 18 |
+
data_files: data/political_affiliations/political_affiliations.jsonl.gz
|
| 19 |
+
- config_name: retention_events
|
| 20 |
+
data_files: data/retention_events/retention_events.jsonl.gz
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
# US Judges — the CourtListener people database
|
| 24 |
+
|
| 25 |
+
Structured records of U.S. judges: who they are, every judicial position they have held, where they
|
| 26 |
+
studied, and their political affiliations. From the Free Law Project / CourtListener bulk export of
|
| 27 |
+
**2026-06-30**, public domain.
|
| 28 |
+
|
| 29 |
+
| config | rows |
|
| 30 |
+
|---|---:|
|
| 31 |
+
| `judges` | 16,191 |
|
| 32 |
+
| `positions` | 51,291 |
|
| 33 |
+
| `educations` | 12,777 |
|
| 34 |
+
| `schools` | 6,011 |
|
| 35 |
+
| `political_affiliations` | 8,486 |
|
| 36 |
+
| `retention_events` | 0 |
|
| 37 |
+
|
| 38 |
+
Join `positions` to `judges` on the person id to trace a judge's career across courts. Coverage is
|
| 39 |
+
strongest for federal judges and state appellate judges; many state trial judges are not in this
|
| 40 |
+
database, and for those the opinions themselves (see `docketx/us-caselaw`) name the presiding judge.
|
| 41 |
+
|
| 42 |
+
## Load it
|
| 43 |
+
```python
|
| 44 |
+
from datasets import load_dataset
|
| 45 |
+
judges = load_dataset("docketx/us-judges", "judges")
|
| 46 |
+
positions = load_dataset("docketx/us-judges", "positions")
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
Part of the [DocketX](https://docketx.ai) open legal corpus, alongside `docketx/us-caselaw`
|
| 50 |
+
(the national opinion corpus) and `docketx/oral-arguments-us` (argument transcripts).
|