World-class dataset card: full corpus specs, schema, use cases, sales CTA

README.md

@@ -1,5 +1,222 @@
----
-license: other
-license_name: permissive-mixed
-license_link: LICENSE
----
+---
+license: other
+license_name: permissive-mixed
+license_link: LICENSE
+task_categories:
+- text-generation
+- fill-mask
+- feature-extraction
+language:
+- en
+tags:
+- code
+- github
+- ai-training
+- llm
+- fine-tuning
+- code-generation
+- python
+- javascript
+- typescript
+- rust
+- go
+- permissive-license
+- apache-2.0
+- mit
+- commercial-safe
+pretty_name: HSH Intelligence — GitHub Code AI Training Corpus (Sample)
+size_categories:
+- 1K<n<10K
+---
+
+# HSH Intelligence — GitHub Code AI Training Corpus
+
+**A 1,000-record evaluation sample of the HSH Intelligence GitHub Code AI Training Corpus.**
+
+This is a curated, license-audited sample of source code from top-rated public GitHub repositories — prepared for large language model training, fine-tuning, and code understanding research.
+
+The full corpus contains **5.6 TB** of source code (**211 million+ files**, **7.05 billion lines**) across **14 production languages** with **0.978 average quality score**.
+
+---
+
+## What's In This Sample
+
+| Metric | Value |
+|---|---|
+| Records | 1,000 (curated subset) |
+| Languages | 5 (Python, JavaScript, TypeScript, Go, Rust) |
+| Format | Apache Parquet (Snappy compression) + CSV |
+| Schema | 24 fields per record |
+| Quality score (avg) | 0.978 / 1.000 |
+| License coverage | 100% commercial-safe |
+
+---
+
+## Full Corpus Specifications
+
+| Metric | Value |
+|---|---|
+| Total dataset size | 5.6 TB (raw) / 391 GB (Parquet, compressed) |
+| Total records | 211 million+ code files |
+| Total lines of code | 7.05 billion |
+| Unique repositories | 3,710+ permissive-license repos |
+| Programming languages | 14 production languages |
+| Average quality score | 0.978 / 1.000 |
+| Updates | Daily incremental |
+
+**Languages covered:** Python, JavaScript, TypeScript, Go, Rust, Java, C++, Ruby, Swift, Kotlin, PHP, C#, Scala, Solidity
+
+---
+
+## Schema (24 Fields)
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | string | Unique record identifier |
+| `repo_name` | string | GitHub repository slug (owner/repo) |
+| `repo_owner` | string | GitHub username or organization |
+| `repo_url` | string | Full HTTPS URL to repository |
+| `file_path` | string | Relative path within repo |
+| `file_name` | string | Filename with extension |
+| `file_sha` | string | SHA-256 hash for deduplication |
+| `code` | string | Raw source code content |
+| `language` | string | Detected programming language |
+| `language_extension` | string | File extension |
+| `line_count` | integer | Total lines of code |
+| `char_count` | integer | Character count |
+| `token_count` | integer | Estimated tokens (tiktoken cl100k) |
+| `license` | string | SPDX license identifier |
+| `license_source` | string | Where license was detected |
+| `license_confidence` | float | Detection confidence (0.0–1.0) |
+| `commercial_safe` | boolean | Commercial-use safe flag |
+| `repo_stars` | integer | GitHub star count |
+| `repo_forks` | integer | GitHub fork count |
+| `repo_description` | string | Repository description |
+| `repo_primary_language` | string | Repository's dominant language |
+| `repo_created_at` | timestamp | Repository creation date |
+| `repo_updated_at` | timestamp | Last activity timestamp |
+| `data_quality_score` | float | Composite quality score (0.0–1.0) |
+
+---
+
+## License Coverage (Commercial-Safe Only)
+
+| License | Status | Notes |
+|---|---|---|
+| MIT | INCLUDED | Most permissive |
+| Apache-2.0 | INCLUDED | Permissive with patent grant |
+| BSD-2-Clause | INCLUDED | Permissive |
+| BSD-3-Clause | INCLUDED | Permissive |
+| ISC | INCLUDED | Permissive |
+| GPL-2.0 / GPL-3.0 | EXCLUDED | Copyleft |
+| AGPL-3.0 | EXCLUDED | Strong copyleft |
+| LGPL-2.1 / LGPL-3.0 | EXCLUDED | Copyleft |
+| No license / Proprietary | EXCLUDED | Default copyright |
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+# Load sample
+ds = load_dataset("HSH-Intelligence/github-code-corpus-sample")
+
+# Inspect
+print(ds)
+print(ds["train"][0])
+
+# Filter to high-quality Python only
+python_only = ds["train"].filter(
+    lambda x: x["language"] == "Python" and x["data_quality_score"] >= 0.95
+)
+```
+
+```python
+import pandas as pd
+
+# Or load directly with pandas
+df = pd.read_parquet(
+    "hf://datasets/HSH-Intelligence/github-code-corpus-sample/github_code_sample_1000.parquet"
+)
+
+print(df.head())
+print(f"Total records: {len(df):,}")
+print(f"Languages: {df['language'].value_counts()}")
+```
+
+---
+
+## Live API Demo
+
+Try the full corpus via the live API sandbox (no signup required):
+
+```bash
+curl -H "X-API-Key: demo-key-12345" \
+  "https://api.hshintelligence.com/api/v1/github-code-corpus?language=Rust&license=MIT&page_size=5"
+```
+
+Or run the interactive Google Colab notebook:
+👉 https://links.hshintelligence.com/github-demo
+
+---
+
+## Use Cases
+
+- **LLM pre-training** — multi-language code corpus for foundation models
+- **Code completion fine-tuning** — Copilot-style models
+- **Code search and retrieval** — embedding training
+- **Code understanding research** — academic benchmarks
+- **Vertical AI** — domain-specific code assistants
+
+---
+
+## Why This Corpus
+
+| Vs. Alternative | HSH Edge |
+|---|---|
+| The Stack v2 | License-audited per file with provenance trail |
+| Common Crawl code | Pre-filtered, deduplicated, quality-scored |
+| Custom GitHub scraping | Saves 4+ months of engineering work |
+| Internal datasets | EU AI Act Article 10 compliance ready |
+
+---
+
+## Compliance & Provenance
+
+- **EU AI Act Article 10** ready (training data governance)
+- Per-record license audit trail
+- Source attribution retained (repo_name, repo_owner)
+- Quality scoring per record
+- No PII, no API keys, no secrets (sensitive content filtered)
+
+Full provenance and audit report: 👉 https://links.hshintelligence.com/github-docs
+
+---
+
+## Full Corpus Access
+
+This is a **1,000-record evaluation sample**. The full corpus is available via commercial license:
+
+- **Format options:** Apache Parquet (default) / JSONL on request
+- **Delivery:** Cloud signed URL / AWS S3 cross-cloud / sFTP
+- **Custom subsets:** Filter by language, license, repo, or quality threshold
+- **Updates:** Daily incremental updates included with annual licenses
+- **Licensing:** 1-year non-exclusive commercial license
+
+**Contact:** sales@healingsunhaven.com  
+**Website:** https://www.hshintelligence.com  
+**Live API:** https://api.hshintelligence.com
+
+---
+
+## About HSH Intelligence
+
+HSH Intelligence is a Data Division of Healing Sun Haven LLC, building world-class AI training datasets and B2B intelligence products.
+
+We build production-grade datasets across AI training, B2B intelligence, and decision-support — purpose-built for frontier AI labs and enterprise teams.
+
+---
+
+*This dataset is provided for evaluation purposes. The full 5.6 TB corpus is available under commercial license. License audit and provenance documentation included with all enterprise contracts.*