Datasets:
File size: 2,233 Bytes
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language: en
pretty_name: IndicSupremeCourtRulings
tags:
- law
- legal
- india
- supreme-court
license: other
---
# IndicSupremeCourtRulings
## Overview
**IndicSupremeCourtRulings** is a structured metadata dataset of Supreme Court of India judgments, organized by year and month-range. Each row corresponds to a judgment metadata record and includes a link to the original judgment PDF.
## Source
The metadata in this dataset was collected from the official Supreme Court of India website and associated endpoints. This dataset **does not redistribute the PDF files** unless they are already present locally in `judgment_pdf_path`. The canonical source for each judgment is the `judgment_url`.
## Important: Legal/Policy Compliance (India)
By using this dataset, **you agree to comply with all applicable Indian laws and regulations** governing access, use, reproduction, and redistribution of judicial materials and any associated documents.
You are solely responsible for ensuring that your use of the dataset (including any downloading, copying, processing, or redistribution of judgment PDFs) is lawful in your jurisdiction and under Indian law.
## Dataset Structure
- **Unit of observation:** one metadata record per judgment
- **Key fields:** `case_number`, `diary_number`, `petitioner_respondent`, `bench`, `judgment_url`, `date_from`, `date_to`
## Fields
See `dataset_info` below for the full schema.
---
dataset_info:
features:
- name: serial_number
dtype: string
- name: diary_number
dtype: string
- name: case_number
dtype: string
- name: petitioner_respondent
dtype: string
- name: advocates
dtype: string
- name: bench
list: string
- name: judgment_by
dtype: string
- name: judgment_url
dtype: string
- name: judgment_pdf_path
dtype: string
- name: date_from
dtype: string
- name: date_to
dtype: string
- name: year
dtype: int32
- name: month_range
dtype: string
- name: source_file
dtype: string
splits:
- name: train
num_bytes: 16725850
num_examples: 38603
download_size: 3159873
dataset_size: 16725850
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
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