Datasets:
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---
language:
- en
license: cc-by-nc-sa-4.0
size_categories:
- 100K<n<1M
task_categories:
- text-generation
pretty_name: SEC Material Contracts (Exhibit 10)
tags:
- legal
- finance
dataset_info:
features:
- name: index_html_url
dtype: string
- name: index_text_url
dtype: string
- name: cik
dtype: int64
- name: name
dtype: string
- name: type
dtype: string
- name: date
dtype: timestamp[ns]
- name: seq
dtype: int64
- name: desc
dtype: string
- name: doc_type
dtype: string
- name: size
dtype: int64
- name: filename
dtype: string
- name: file_url
dtype: string
- name: file
dtype: string
- name: __index_level_0__
dtype: int64
- name: file_content
dtype: string
splits:
- name: train
num_bytes: 105676320484
num_examples: 827437
download_size: 25830260613
dataset_size: 105676320484
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Material Contracts (Exhibit 10) from SEC
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [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)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Annotations](#annotations)
- [Annotation process](#annotation-process)
- [Who are the annotators?](#who-are-the-annotators)
- [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
- **Homepage:** NA
- **Repository:** [Crawler](https://github.com/ChenghaoMou/edgar-crawler/tree/main)
- **Paper:** NA
- **Leaderboard:** NA
- **Point of Contact:** mouchenghao at gmail dot com
### Dataset Summary
827437 material contracts (Exhibit 10) collected from sec.gov, specifically from 10-k, 10-Q, and 8-K, ranging from 1994 to Jan 2024. Exhibit 10 consists of a large collection of legal agreements and contracts.
### Supported Tasks and Leaderboards
- `language-modeling` or `text-generation`: The dataset can be used to build language model in legal/finance domain.
Currently, there is no leaderboard for this dataset.
### Languages
The primary language is US English with the rare instances of other languages.
## Dataset Structure
### Data Instances
Please refer to the data viewer for examples.
### Data Fields
Please refer to the data viewer for examples.
### Data Splits
The dataset does not have a split by design. Everything is under train by convention.
## Dataset Creation
### Curation Rationale
SEC EDGAR is a public available service from which one can query and access corporate filings. This collection of one specific exhibit files enables researchers to learn and model from contracts and agreements directly.
### Source Data
https://www.sec.gov/
#### Initial Data Collection and Normalization
The data is collected by year from all filings that are 10-K, 8-K, or 10-Q. Each exhibit is individually downloaded with all metadata information for maximum completeness.
#### Who are the source language producers?
The Securities and Exchange Commission (SEC) requires public companies, certain company insiders, and broker-dealers to file periodic financial statements and other disclosures. Finance professionals and investors rely on SEC filings to make informed decisions when evaluating whether to invest in a company. SEC filings can be accessed for free at EDGAR, the commission's online database.
### Annotations
NA
#### Annotation process
NA
#### Who are the annotators?
NA
### Personal and Sensitive Information
It might contain PII information (names, emails, job titles, companies) that are already public.
## Considerations for Using the Data
### Social Impact of Dataset
This dataset could enable a better legal and finance language modeling capability.
### Discussion of Biases
Considering the source and language, it might produce overly US-centric legalese.
### Other Known Limitations
NA
## Additional Information
### Dataset Curators
@chenghao
### Licensing Information
[Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/)
### Citation Information
NA
### Contributions
NA
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