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Datasets:
HaseebDev
/
ip_copyright_claims

Tasks:
Text Generation
Languages:
English
Size:
10K<n<100K
Tags:
Synthetic
synthetic-data
workflow-records
b2b
legal
privacy-safe
License:
Dataset card Data Studio Files
xet
 Community
ip_copyright_claims / README.md
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metadata 
license: cc-by-nc-4.0
task_categories:
  - text-generation
language:
  - en
tags:
  - synthetic
  - synthetic-data
  - workflow-records
  - b2b
  - legal
  - privacy-safe
size_categories:
  - 10K<n<100K
pretty_name: Ip Copyright Claims

Ip Copyright Claims (Synthetic B2B Dataset Preview)

This synthetic workflow dataset simulates Intellectual Property & Copyright Dispute Claims for B2B evaluation, internal testing, and prototyping.

About this Dataset

The daily pipeline uses AI-assisted research and blueprint review, with deterministic Python rendering for bulk records and local validation before publication. Records are variants of configured workflow scenarios. A larger row count does not establish independent real-world cases or demonstrated model-training performance.

  • Verified record count: 10,000
  • Privacy-safe: Contains synthetic names, phone numbers, and company identifiers.
  • Structured and checked: Schema-validated JSONL; inspect the audit for duplicate, content, and similarity-check details.
  • Suggested workflow fit: Law firms and SaaS legal portals training auto-intake bots.
  • Category: Legal

Schema Definition

Each record contains the following fields:

  • claim_id (str): Pre-assigned Claim ID (e.g. IP-COPY-XXXX)
  • claimant_name (str): Pre-assigned Claimant Name
  • infringing_party (str): Pre-assigned Infringing Party Name
  • work_description (str): Summary of copyrighted work (software, media, text)
  • infringement_claim (str): Detailed allegation of copy, reuse, or reverse-engineering
  • demand_terms (str): Specific demands (cease and desist, damages, licensing fees)

Get the Commercial Version

For additional synthetic workflow records, the matching private repo is HaseebDev/ip_copyright_claims-commercial and is available under a commercial license.

  • Payment: Lemon Squeezy hosted checkout.
  • Delivery: Lemon Squeezy checkout with secure commercial delivery after purchase
  • Commercial package: 100,000 records, schema documentation, and quality audit report.

Open the commercial access page

Quality Audit

Dataset Quality Report

Executive Summary

Metric Value
Status PASS
Quality Score 94/100
Records Audited 10000
Niche Intellectual Property & Copyright Dispute Claims
Category Legal

Quality Gates

Dimension Result
Schema Conformance 100.0% (10000/10000)
Duplicate Rows 0
Duplicate Identity Values 0
Non-Synthetic Phone Risk 0
Email Address Count 0
Max Fuzzy Similarity 0.587
Average Words Per Descriptive Field 98.7
Vocabulary Diversity 0.702
Repeated Phrase Count 15
Domain Keyword Coverage 0.7

Buyer Assurance

This dataset was checked with deterministic local tooling before publication. The audit verifies schema consistency, uniqueness, text depth, duplicate risk, repeated wording, domain terminology coverage, and obvious PII leakage patterns.

All rows receive schema and content checks. Cross-record similarity uses a bounded sample of pairs to keep generation fast; it does not establish that every possible pair is dissimilar. The score measures these automated checks, not downstream model performance or independent medical, legal, or regulatory validation.

Findings

  • MINOR: 15 high-frequency non-domain four-word phrase pattern(s) detected.

Support

Add me on Discord: xomohappy for access support, delivery questions, or product questions about this premade commercial dataset.