| --- |
| 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: file_content |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 158734794 |
| num_examples: 1000 |
| download_size: 35156538 |
| dataset_size: 158734794 |
| 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 |
|
|
|
|
|
|
