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arthrod
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ex-10-material-contracts-2-2024

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submission
dict
header
dict
document_from_text
stringlengths
460
27.4M
document_metadata
dict
_id
stringlengths
36
36
timestamp_collection
stringlengths
23
23
doc_url
stringlengths
73
98
raw_document_content
stringlengths
461
27.4M
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2024-12-15_06:13:25_EST
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{"cik":"1000228","company_name":"HENRY SCHEIN INC","form_type":"10-Q","date_filed":"2024-05-07T00:00(...TRUNCATED)
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End of preview. Expand in Data Studio

Dataset Card for SEC Exhibit 10 Material Contracts Dataset

Dataset Details

Dataset Description

This training dataset contains SEC filing documents specifically focused on Exhibit 10 (Material Contracts) from a specified quarter. Exhibit 10 includes material contracts and similar agreements that are required to be filed with the SEC. This collection provides structured access to full contract texts and associated metadata.

  • Curated by: Arthur ([email protected])
  • Language(s): English
  • License: Likely public domain as US government data
  • Scope: Material contracts filed as Exhibit 10 in SEC filings

Dataset Structure

The dataset has a nested structure with the following fields:

Top Level Fields

  1. submission: Dictionary containing the full submission data

    • Type: dict
    • Contains nested document and header information

  2. header: Dictionary containing filing header information

    • Type: dict
    • Contains SEC header metadata

  3. document_from_text: String containing contract text

    • Type: string
    • Length: Variable
    • Contains the full text of material contracts

  4. document_metadata: Dictionary containing document-specific metadata

    • Type: dict
    • Contains filing metadata like CIK, form type, dates, etc.

  5. _id: Unique identifier

    • Type: string
    • Present in all records

  6. timestamp_collection: Timestamp of when record was collected

    • Type: string
    • Present in all records

  7. doc_url: URL to the document on SEC website

    • Type: string
    • Present in all records

  8. raw_document_content: Raw document content

    • Type: string
    • Contains unprocessed contract text and markup

Document Metadata Fields

The document_metadata dictionary contains:

  • cik: Company identifier
  • company_name: Name of filing company
  • form_type: Type of SEC form (all Exhibit 10 variants)
  • date_filed: Filing date
  • master_file: Reference to master index file
  • submission_filename: Path to filing in EDGAR system
  • submission_url: Direct link to filing
  • accession_number: SEC accession number

Header Fields

The header dictionary includes:

  • sec_document: Document identifier and date
  • acceptance_datetime: Filing acceptance timestamp
  • filing_form_type: Type of SEC form
  • submission_type: Type of submission
  • period_of_report: Report period
  • standard_industrial_classification: Industry classification
  • classification_number: Industry code
  • public_document_count: Number of documents in submission
  • company_name: Filing company name

Uses

Direct Use

  • Analysis of material business contracts
  • Corporate relationship mapping
  • Contract term analysis
  • Legal document processing
  • Identification of business arrangements and terms
  • Research on contract structures and patterns
  • Corporate governance analysis

Out-of-Scope Use

  • Analysis of other SEC filing types
  • Real-time contract monitoring
  • Legal advice or compliance determinations
  • Analysis of non-material contracts
  • Trading signals without proper analysis

Limitations and Considerations

  • Limited to material contracts (Exhibit 10)
  • Focused on a specific quarter
  • Large variance in document sizes
  • Contains HTML/XML markup requiring processing
  • May not include all exhibits referenced in contracts
  • Historical data only

Recommendations

  • Implement proper HTML/XML parsing for clean text extraction
  • Consider contract structure when processing documents
  • Cross-reference with master index for complete context
  • Consider industry classification when analyzing contracts
  • Validate document completeness
  • Process tables and formatted content appropriately
  • Consider legal expertise for proper interpretation

Dataset Card Contact

Arthur ([email protected])

Code

https://github.com/arthrod/sec-edgar-bulker

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