Datasets:
dataset_info:
features:
- name: _id
dtype: string
- name: timestamp
dtype: timestamp[s]
- name: cik
dtype: string
- name: company_name
dtype: string
- name: form_type
dtype: string
- name: date_filed
dtype: timestamp[s]
- name: filename
dtype: string
- name: url
dtype: string
- name: quarter
dtype: int64
- name: year
dtype: int64
- name: master_metadata
struct:
- name: Description
dtype: string
- name: Last Data Received
dtype: string
- name: Comments
dtype: string
- name: Anonymous FTP
dtype: string
- name: Cloud HTTP
dtype: string
- name: idx_type
dtype: string
splits:
- name: train
num_bytes: 9818628455
num_examples: 24943448
download_size: 1882894445
dataset_size: 9818628455
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
tags:
- legal
- SEC
- EDGAR
- filings
Dataset Card for SEC EDGAR Filings Master Index
Dataset Details
Dataset Description
This dataset contains metadata for all submissions to the Securities and Exchange Commission (SEC) through their EDGAR system from 1994 until December 14, 2024. The data is extracted from quarterly master files and includes key information about company filings such as CIK numbers, company names, form types, and filing dates.
- Curated by: Arthur ([email protected])
- Language(s): English
- License: Likely public domain as US government data
Dataset Sources
- Repository: Based on SEC EDGAR database
- Primary Source: SEC EDGAR system (https://www.sec.gov/edgar.shtml)
Uses
Direct Use
- Financial research and analysis
- Corporate compliance monitoring
- Historical filing pattern analysis
- Company information retrieval
- Regulatory filing tracking
- Market research and analytics
Out-of-Scope Use
- Real-time filing monitoring (dataset is historical)
- Analysis of filing content (contains only metadata)
- Legal advice or compliance determinations
- Personal identification or contact information gathering
Dataset Structure
The dataset contains the following fields:
- _id: Unique identifier (36 characters)
- timestamp: Timestamp of record creation
- cik: Company Identifier (1-7 digits)
- company_name: Name of filing company (0-150 characters)
- form_type: Type of SEC form filed (734 distinct values)
- date_filed: Date of filing submission
- filename: Path to filing in EDGAR system (37-43 characters)
- url: Direct link to filing (66-72 characters)
- quarter: Filing quarter (1-4)
- year: Filing year (1994-2024)
- master_metadata: Dictionary containing:
- Description
- Last Data Received
- Comments
- Anonymous FTP
- Cloud HTTP
- idx_type: Filing index type
Dataset Creation
Curation Rationale
The dataset was created to provide a comprehensive index of all SEC EDGAR filings, enabling research, analysis, and monitoring of corporate financial disclosures and regulatory compliance.
Source Data
Data Collection and Processing
- Data is collected from SEC EDGAR quarterly master files
- Processing includes structuring the data into a consistent format
- URLs are standardized to SEC.gov domain
- Timestamps are standardized to a consistent format
- Unique identifiers are assigned to each record
Who are the source data producers?
- Primary data producers are publicly traded companies and other entities required to file with the SEC
- Data is collected and distributed by the U.S. Securities and Exchange Commission
Personal and Sensitive Information
The dataset contains only publicly available information from SEC filings. While it includes company names and identifiers, it does not contain personal information beyond what is already public in SEC filings.
Bias, Risks, and Limitations
- Historical data may be incomplete for earlier years
- Company names may change over time
- CIK numbers may be reused in rare cases
- Form types may be deprecated or changed over time
- URLs may become invalid if SEC changes its archive structure
- Coverage limited to SEC-regulated entities
Recommendations
- Verify current company information through SEC's current EDGAR system
- Cross-reference CIK numbers when tracking companies over time
- Consider form type changes when analyzing historical patterns
- Implement appropriate error handling for URL access
- Use appropriate date ranges for analysis based on regulation changes
- Consider regulatory context when analyzing filing patterns
Dataset Card Contact
Arthur ([email protected])