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--- |
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language: |
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- en |
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license: cc-by-nc-sa-4.0 |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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pretty_name: SEC Material Contracts (Exhibit 10) |
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tags: |
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- legal |
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- finance |
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dataset_info: |
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features: |
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- name: index_html_url |
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dtype: string |
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- name: index_text_url |
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dtype: string |
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- name: cik |
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dtype: int64 |
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- name: name |
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dtype: string |
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- name: type |
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dtype: string |
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- name: date |
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dtype: timestamp[ns] |
|
- name: seq |
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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 |
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dtype: string |
|
- name: __index_level_0__ |
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dtype: int64 |
|
- name: file_content |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 105676320484 |
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num_examples: 827437 |
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download_size: 25830260613 |
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dataset_size: 105676320484 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Material Contracts (Exhibit 10) from SEC |
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## Table of Contents |
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- [Dataset Card Creation Guide](#dataset-card-creation-guide) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) |
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- [Who are the source language producers?](#who-are-the-source-language-producers) |
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- [Annotations](#annotations) |
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- [Annotation process](#annotation-process) |
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- [Who are the annotators?](#who-are-the-annotators) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** NA |
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- **Repository:** [Crawler](https://github.com/ChenghaoMou/edgar-crawler/tree/main) |
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- **Paper:** NA |
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- **Leaderboard:** NA |
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- **Point of Contact:** mouchenghao at gmail dot com |
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### Dataset Summary |
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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. |
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### Supported Tasks and Leaderboards |
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- `language-modeling` or `text-generation`: The dataset can be used to build language model in legal/finance domain. |
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Currently, there is no leaderboard for this dataset. |
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### Languages |
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The primary language is US English with the rare instances of other languages. |
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## Dataset Structure |
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### Data Instances |
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Please refer to the data viewer for examples. |
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### Data Fields |
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Please refer to the data viewer for examples. |
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### Data Splits |
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The dataset does not have a split by design. Everything is under train by convention. |
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## Dataset Creation |
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### Curation Rationale |
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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. |
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### Source Data |
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https://www.sec.gov/ |
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#### Initial Data Collection and Normalization |
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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. |
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#### Who are the source language producers? |
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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. |
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### Annotations |
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NA |
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#### Annotation process |
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NA |
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#### Who are the annotators? |
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NA |
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### Personal and Sensitive Information |
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It might contain PII information (names, emails, job titles, companies) that are already public. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset could enable a better legal and finance language modeling capability. |
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### Discussion of Biases |
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Considering the source and language, it might produce overly US-centric legalese. |
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### Other Known Limitations |
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NA |
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## Additional Information |
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### Dataset Curators |
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@chenghao |
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### Licensing Information |
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[Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/) |
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### Citation Information |
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NA |
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### Contributions |
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NA |
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