Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
legal
License:
File size: 2,270 Bytes
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---
dataset_info:
features:
- name: id
dtype: float64
- name: name
dtype: string
- name: first
dtype: string
- name: last
dtype: string
- name: sex
dtype: string
- name: dob
dtype: string
- name: age
dtype: int64
- name: age_cat
dtype: string
- name: race
dtype: string
- name: juv_fel_count
dtype: int64
- name: decile_score
dtype: int64
- name: juv_misd_count
dtype: int64
- name: juv_other_count
dtype: int64
- name: priors_count
dtype: int64
- name: days_b_screening_arrest
dtype: float64
- name: c_jail_in
dtype: string
- name: c_jail_out
dtype: string
- name: c_days_from_compas
dtype: float64
- name: c_charge_degree
dtype: string
- name: c_charge_desc
dtype: string
- name: is_recid
dtype: int64
- name: r_charge_degree
dtype: string
- name: r_days_from_arrest
dtype: float64
- name: r_offense_date
dtype: string
- name: r_charge_desc
dtype: string
- name: r_jail_in
dtype: string
- name: violent_recid
dtype: float64
- name: is_violent_recid
dtype: int64
- name: vr_charge_degree
dtype: string
- name: vr_offense_date
dtype: string
- name: vr_charge_desc
dtype: string
- name: type_of_assessment
dtype: string
- name: decile_score.1
dtype: int64
- name: score_text
dtype: string
- name: screening_date
dtype: string
- name: v_type_of_assessment
dtype: string
- name: v_decile_score
dtype: int64
- name: v_score_text
dtype: string
- name: priors_count.1
dtype: int64
- name: event
dtype: int64
splits:
- name: train
num_bytes: 7742099
num_examples: 18316
download_size: 1350808
dataset_size: 7742099
license: odc-by
language:
- en
pretty_name: COMPAS
size_categories:
- 10K<n<100K
task_categories:
- text-classification
tags:
- legal
---
# COMPAS (Teeny-Tiny Castle)
This dataset is part of a tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research.
## How to Use
```python
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/COMPAS", split = 'train')
```
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