# Monolith UCFR - Machine Learning Systems Dataset
# Format: CSV-like with structured metadata for ML processing
# Generated: 2026-07-22T19:30:47.738Z
# Total Records: 0

id,fingerprint,method_id,external_id,project_id,project_name,organization_id,organization_name,creator,status,created_at,updated_at,license,has_phash,phash,allow_ai_training,has_transaction,has_signature,has_ext_uri,ext_uri,url

# Field Descriptions:
# id: Unique claim identifier
# fingerprint: Cryptographic hash of the content
# method_id: Fingerprinting algorithm identifier
# external_id: Platform-specific content identifier
# project_id: Project identifier
# project_name: Human-readable project name
# organization_id: Organization identifier
# organization_name: Human-readable organization name
# creator: User who created the claim
# status: Claim status (submitted, pending, confirmed, failed)
# created_at: ISO 8601 timestamp of creation
# updated_at: ISO 8601 timestamp of last update
# license_name: Content license type (license name)
# has_phash: Boolean flag for perceptual hash presence
# phash: Perceptual hash for image similarity detection
# has_transaction: Boolean flag for blockchain transaction
# has_signature: Boolean flag for cryptographic signature
# has_ext_uri: Boolean flag for external URI
# ext_uri: External resource identifier
# url: Web URL to view the claim

# Usage Notes:
# - Boolean fields are represented as 0/1
# - Empty strings indicate missing/null values
# - Timestamps are in ISO 8601 format (UTC)
# - URLs are properly escaped for CSV parsing
# - This dataset is suitable for:
#   * Content similarity analysis
#   * License compliance checking
#   * AI training permission filtering
#   * Temporal content analysis
#   * Creator attribution studies