README.md

---
annotations_creators:
- expert-generated
language_creators:
- found
- expert-generated
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
- text2text-generation
task_ids:
- text-simplification
pretty_name: 'LegalOps: A summarisation corpus of Federal and Supreme Court Opinions
  from the Justia Portal'
dataset_info:
- config_name: default
  splits:
  - name: train
    num_bytes: 33980817
    num_examples: 1022
  download_size: 17759423
  dataset_size: 33980817
- config_name: federal
  features:
  - name: fulltext
    dtype: string
  - name: summary
    dtype: string
  - name: tag
    dtype: string
  - name: url
    dtype: string
  - name: file_urls
    sequence: string
  - name: files
    list:
    - name: checksum
      dtype: string
    - name: path
      dtype: string
    - name: status
      dtype: string
    - name: url
      dtype: string
  - name: metadata
    struct:
    - name: court_id
      dtype: string
    - name: date
      dtype: string
    - name: number
      dtype: string
    - name: title
      dtype: string
  splits:
  - name: train
    num_bytes: 625693535
    num_examples: 284011
  download_size: 309803008
  dataset_size: 625693535
- config_name: federal-clean
  features:
  - name: fulltext
    dtype: string
  - name: summary
    dtype: string
  - name: tag
    dtype: string
  - name: url
    dtype: string
  - name: file_urls
    sequence: string
  - name: files
    list:
    - name: checksum
      dtype: string
    - name: path
      dtype: string
    - name: status
      dtype: string
    - name: url
      dtype: string
  - name: metadata
    struct:
    - name: court_id
      dtype: string
    - name: date
      dtype: string
    - name: number
      dtype: string
    - name: title
      dtype: string
  splits:
  - name: train
    num_bytes: 585523330
    num_examples: 16745
  download_size: 301381329
  dataset_size: 585523330
- config_name: supreme
  features:
  - name: Syllabus
    dtype: string
  - name: Dissent
    dtype: string
  - name: Opinion
    dtype: string
  - name: summary
    dtype: string
  - name: tag
    dtype: string
  - name: url
    dtype: string
  - name: file_urls
    sequence: string
  - name: files
    list:
    - name: checksum
      dtype: string
    - name: path
      dtype: string
    - name: status
      dtype: string
    - name: url
      dtype: string
  - name: metadata
    struct:
    - name: Advocates
      dtype: string
    - name: Argued
      dtype: string
    - name: Decided
      dtype: string
    - name: Docket No.
      dtype: string
    - name: First Party
      dtype: string
    - name: Granted
      dtype: string
    - name: Juris Postponed
      dtype: string
    - name: Official Citation
      dtype: string
    - name: Reargued
      dtype: string
    - name: Second Party
      dtype: string
    - name: page
      dtype: int64
    - name: volume
      dtype: int64
  splits:
  - name: train
    num_bytes: 33894538
    num_examples: 1022
  download_size: 17739369
  dataset_size: 33894538
- config_name: supreme-clean
  features:
  - name: Syllabus
    dtype: string
  - name: Dissent
    dtype: string
  - name: Opinion
    dtype: string
  - name: summary
    dtype: string
  - name: tag
    dtype: string
  - name: url
    dtype: string
  - name: file_urls
    sequence: string
  - name: files
    list:
    - name: checksum
      dtype: string
    - name: path
      dtype: string
    - name: status
      dtype: string
    - name: url
      dtype: string
  - name: metadata
    struct:
    - name: Advocates
      dtype: string
    - name: Argued
      dtype: string
    - name: Decided
      dtype: string
    - name: Docket No.
      dtype: string
    - name: First Party
      dtype: string
    - name: Granted
      dtype: string
    - name: Juris Postponed
      dtype: string
    - name: Official Citation
      dtype: string
    - name: Reargued
      dtype: string
    - name: Second Party
      dtype: string
    - name: page
      dtype: int64
    - name: volume
      dtype: int64
  splits:
  - name: train
    num_bytes: 31766337
    num_examples: 593
  download_size: 17053691
  dataset_size: 31766337
configs:
- config_name: default
  data_files:
  - split: train
    path: supreme-clean/train-*
- config_name: federal
  data_files:
  - split: train
    path: federal/train-*
- config_name: federal-clean
  data_files:
  - split: train
    path: federal-clean/train-*
- config_name: supreme
  data_files:
  - split: train
    path: supreme/train-*
- config_name: supreme-clean
  data_files:
  - split: train
    path: supreme-clean/train-*
tags:
- legal
---

# Dataset Card for LegalOps JustiaCorpus

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **https://github.com/stfc/Justia-LegalOps**
- **https://github.com/stfc/Justia-LegalOps**
- **Paper:**
- **Leaderboard:**
- **[email protected]**

### Dataset Summary

This is an English-Language dataset consisting of US Supreme and Federal Court cases, with fulltexts and summaries. The dataset comprises approximately 600 Supreme court cases with Summaries and Syllabi, as well as those with missing data scraped from https://supreme.justia.com/. 

As the highest court in the nation, the U.S. Supreme Court has shaped the rights and freedoms of Americans since the Founding. Justia provides a free collection of all U.S. Supreme Court decisions from 1791 to the present.

The federal court data is scraped from https://law.justia.com/cases/federal/, it is more sparse than the Supreme Court data, with approximately 17,000 Cases out of a total of 284,000 scraped from the records with non-zero length Fulltext and Summaries.

| Dataset Split | Number of Rows |
| --------- | --------- |
| `federal` | 284011 |
| `federal-clean` | 16818 |
| `supreme` | 1022 |
| `supreme-clean` | 593 |

### Supported Tasks and Leaderboards

* Text Summarisation

### Languages

* English - (n.b. - The BCP-47 code for English as generally spoken in the United States is en-US)

## Dataset Structure

### Data Instances

The data instances for the splits differ slightly between the Federal and Supreme Court data

#### Supreme Court Data

Each instance in the "supreme" consists of a string fulltext field containing the Syllabus of the case (`Syllabus`), a string summary field containing a human-written summary of the case. There are two other significant data fields for the case, one containing the opinion (`Opinion`), the other (optionally) the Dissent (`Dissent`). The other fields are metadata for the case scrape, a string tag for identifiying "federal" or "supreme" court should the splits be combined (`tag`), the scraped URL (`url`), a list of  a dictionary of metadata for the case itself (`metadata`), a list of file URLs (`file_urls`) and a more complete data structure (`files`) consisting of a list of dictionaries for each PDF downloaded. The "path" key in this datastructure relates to the location within the associate PDF tarball (see (# Additional Data)[# Additional Data])

```
{
  "Syllabus": "See United States v. Detroit Timber & Lumber Co.,\n\n200 U.S. 321, 337.\nSUPREME COURT OF THE UNITED STATES\nSyllabus\nGREENE, aka TRICE v. FISHER, SUPERINTENDENT, STATE CORRECTIONAL INSTITUTION AT SMITHFIELD, et al.\ncertiorari to the united states court of appeals for the third circuit\nNo. 10\u2013637.\u2003Argued October 11, 2011\u2014Decided November 8, 2011\nDuring petitioner Greene\u2019s trial for murder, robbery, and conspiracy, the prosecution introduced the redacted confessions of two of Greene\u2019s nontestifying codefendants.  A jury convicted Greene.  The Pennsylvania Superior Court...",
  "Dissent": "",
  "Opinion": "SUPREME COURT OF THE UNITED STATES\n_________________\nNo. 10\u2013637\n_________________\nERIC GREENE, aka JARMAINE Q. TRICE, PETI- TIONER v. JON FISHER, SUPERINTENDENT, STATE CORRECTIONAL INSTITUTION AT SMITHFIELD, et al.\non writ of certiorari to the united states court of appeals for the third circuit\n[November 8, 2011]\n\nJustice Scalia delivered the opinion of the Court.\nUnder the Antiterrorism and Effective Death Penalty Act of 1996 (AEDPA), a federal court may not grant habeas relief to a state prisoner...,
  "tag": "supreme",
  "url": "https://supreme.justia.com/cases/federal/us/565/34/",
  "file_urls": [
    "https://supreme.justia.com/cases/federal/us/565/10-637/case.pdf"
  ],
  "files": [
    {
      "checksum": "7364db9dec242c4bf751cddd1082c714",
      "path": "full/aff7f0b60e06bcdc14db0962db7a187460cf3d6e.pdf",
      "status": "downloaded",
      "url": "https://supreme.justia.com/cases/federal/us/565/10-637/case.pdf"
    }
  ],
  "metadata": {
    "Advocates": null,
    "Argued": "October 11, 2011",
    "Decided": "November 8, 2011",
    "Docket No.": "10-637",
    "First Party": "Eric Greene, aka Jarmaine Q. Trice",
    "Granted": "April 4, 2011",
    "Juris Postponed": null,
    "Official Citation": "565 U.S. 34",
    "Reargued": null,
    "Second Party": "Jon Fisher, Superintendent, State Correctional Institution at Smithfield, et al.",
    "page": 34,
    "volume": 565
  },
}
```

#### Federal Court Data

Each instance consists of a string fulltext field containing the fulltext of the case, a string summary field containing a human-written summary of the case. The other fields are metadata for the case scrape, a string tag for identifiying "federal" or "supreme" court should the splits be combined (`tag`), the scraped URL (`url`), a list of  a dictionary of metadata for the case itself (`metadata`), a list of file URLs (`file_urls`) and a more complete data structure (`files`) consisting of a list of dictionaries for each PDF downloaded. The "path" key in this datastructure relates to the location within the associate PDF tarball (see (# Additional Data)[# Additional Data])

```json
{
  "fulltext": "Appeal from judgment of the United States District Court for the Western District of New York (Telesca, J.). The district court denied Petitioner habeas corpus relief after finding that Petitioner did not derive citizenship from his father; the district court ruled that Petitioner was not in his father    s     legal custody     when his father naturalized. We conclude that the district court erred because it relied on an unenforceable custody award.     Legal custody ...",
  "summary": "Petitioner appealed from the district court's denial of habeas corpus relief after finding that he did not derive citizenship from his father. The district court ruled that petitioner was not in his father's \"legal custody\" when his father naturalized. The court concluded that the district court erred because it relied on an unenforceable Dominican Republic custody award where New York had jurisdiction to determine custody. Accordingly, the court vacated the judgment and remanded for further proceedings.",
  "tag": "federal",
  "url": "https://law.justia.com/cases/federal/appellate-courts/ca2/09-4211/09-4211_opn-2011-12-29.html",
  "file_urls": [
    "https://cases.justia.com/federal/appellate-courts/ca2/09-4211/09-4211_opn-2011-12-29.pdf"
  ],
  "files": [
    {
      "checksum": "c48f9dd5a186a0e4dde4259085d99840",
      "path": "full/e38b7ce3ff0e4f83a100f5e2cc57552591d033b0.pdf",
      "status": "downloaded",
      "url": "https://cases.justia.com/federal/appellate-courts/ca2/09-4211/09-4211_opn-2011-12-29.pdf"
    }
  ],
  "metadata": {
    "court_id": "ca2",
    "date": "2011-12-29",
    "number": "09-4211",
    "title": "Garcia v. USICE (Dept. of Homeland Security), No. 09-4211 (2d Cir. 2011)"
  }
}
```

### Data Fields

[More Information Needed]

### Data Splits

This dataset is comprised of four splits: a source-quality version (`federal`/`supreme`)and a pre-processed version (`federal-clean`/`supreme-clean`). These are **not** currently further subdivided into `train/test/eval` splits. The default split is the `supreme` split.

```
JustiaCorpus/
├── README.md
├── federal/
├── federal-clean/
├── supreme/
└── supreme-clean/
```

The splits can be loaded as follows:

```python
ds = load_dataset(
    "HartreeCentre/JustiaCorpus",
    split,
    token=HF_TOKEN_VALUE,
)["train"]
```

where `split` is one of `["supreme", "federal", "supreme-clean", "federal-clean"]`.

### Additional Data

Within this repository, two tarballs containing the full PDF documents for each dataset can be found in the corresponding `federal/` and `supreme/` datasets.

* `federal/federal_pdfs.tar.gz`
* `supreme/supreme_pdfs.tar.gz`

to extract these, clone this dataset repo, navigate to the directory and untar:

```bash
tar -xzvf federal_pdfs.tar.gz
```

The mapping between case and PDF is stored in the "files" field in the dataset. 

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Personal and Sensitive Information

This dataset is not anonymized, so individuals' names can be found in the dataset

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@INPROCEEDINGS{9378308,
  author={Gargett, Andrew and Firth, Rob and Aletras, Nikolaos},
  booktitle={2020 IEEE International Conference on Big Data (Big Data)}, 
  title={LegalOps: A Summarization Corpus of Legal Opinions}, 
  year={2020},
  volume={},
  number={},
  pages={2117-2120},
  doi={10.1109/BigData50022.2020.9378308}}
```

### Contributions

Thanks to [@RobFirth](https://github.com/RobFirth) for adding this dataset.