metadata

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

Dataset Card Creation Guide

Dataset Description

Homepage: NA
Repository: Crawler
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

Annotation process

Who are the annotators?

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.

Datasets:

chenghao
/

sec-material-contracts