Datasets:
Tasks:
Text Generation
Formats:
json
Languages:
English
Size:
< 1K
Tags:
reflection-ai
build-with-beam
beam-1.0-501b-a23b
mcp
legacy-modernization
differential-verification
License:
|
Download README.md from ql6/Legacy2MCP-Bench: direct link, hf CLI and curl.
- Browser
- Download file 3.33 kB
-
https://huggingface.co/datasets/ql6/Legacy2MCP-Bench/resolve/main/README.md
- Command line
-
hf download hf://datasets/ql6/Legacy2MCP-Bench/README.md
-
curl -L -o README.md https://huggingface.co/datasets/ql6/Legacy2MCP-Bench/resolve/main/README.md
3.33 kB
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - reflection-ai | |
| - build-with-beam | |
| - beam-1.0-501b-a23b | |
| - mcp | |
| - legacy-modernization | |
| - differential-verification | |
| - code-benchmarks | |
| pretty_name: Legacy2MCP-Bench (Real GitHub Repositories · 160 Differential Vectors) | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: legacy2mcp_bench.jsonl | |
| # Legacy2MCP-Bench (v2 · 100% Real GitHub Ground-Truth Corpus) | |
| **`Legacy2MCP-Bench`** is a verifiable 160-vector enterprise modernization benchmark built for the **Reflection AI × Hugging Face "Build with Beam"** competition. Every row measures whether an LLM can refactor a real, production multi-file GitHub Python repository into a **zero-dependency standalone Anthropic Model Context Protocol (`MCPServer` v2)** module that achieves **bit-exact parity** against the untouched original GitHub library. | |
| ## Cloned GitHub Repositories & Commits | |
| | Repo ID | Public GitHub Repository | Git Commit | Domain & Compliance Regime | Raw Cloned Tokens (`Beam-1.0` BPE) | AST-Compacted Pack (`Beam-1.0` BPE) | Vectors | Single-Chunk RAG Parity | Whole-Repo + Self-Heal Parity | | |
| |---|---|---|---|---:|---:|---:|---:|---:| | |
| | `py_moneyed` | [`limist/py-moneyed`](https://github.com/limist/py-moneyed) | `4c90ed5` | ISO-4217 Treasury & Pro-Rata Allocation | 15,826 | **8,660** | 40 | 37/40 (`92.5%`) | **40/40 (`100.0%`)** | | |
| | `price_parser` | [`scrapinghub/price-parser`](https://github.com/scrapinghub/price-parser) | `6718bfe` | Global eCommerce Price & Locale Extraction | 19,246 | **16,495** | 40 | 29/40 (`72.5%`) | **40/40 (`100.0%`)** | | |
| | `schwifty` | [`mdomke/schwifty`](https://github.com/mdomke/schwifty) | `7462c6e` | ISO-13616 IBAN / BBAN / SWIFT-BIC | 2,400,664 | **1,882** | 40 | 24/40 (`60.0%`) | **40/40 (`100.0%`)** | | |
| | `python_stdnum` | [`arthurdejong/python-stdnum`](https://github.com/arthurdejong/python-stdnum) | `006192e` | ISIN / CUSIP / SEDOL / FIGI / ABA / EIN / EU VAT | 639,812 | **5,745** | 40 | 24/40 (`60.0%`) | **40/40 (`100.0%`)** | | |
| | **Total** | **4 Real GitHub Repos (447 files)** | — | **Enterprise Finance, Tax & Commerce** | **3,075,548** | **32,782 (`98.9%` saved)** | **160** | **114/160 (`71.25%`)** | **160/160 (`100.00%`)** | | |
| ## Schema (`legacy2mcp_bench.jsonl`) | |
| Each of the 160 JSONL rows contains: | |
| - `benchmark_id`: Unique vector ID (`PY_MONEYED-01` .. `PYTHON_STDNUM-40`) | |
| - `github_repo`, `github_url`, `git_commit_sha`: Exact upstream GitHub provenance | |
| - `mcp_tool_name`, `category`, `label`, `input_arguments`: Structured MCP tool invocation payload | |
| - `ground_truth_output`: Exact JSON output produced by executing the untouched GitHub library | |
| - `synthesized_mcp_output`: Exact JSON output produced by executing the standalone LLM-synthesized `MCPServer` module (zero legacy library imports enforced via Python AST audit) | |
| - `whole_repo_1m_exact_match` (`bool`), `single_chunk_rag_exact_match` (`bool`) | |
| - `whole_repo_openrouter_request_ids`, `single_chunk_openrouter_request_id`: Verifiable OpenRouter generation IDs (`gen-...`) | |
| - `official_beam_bpe_packed_tokens`: Exact token count measured with `reflection/Beam-1.0-501B-A23B` `tokenizer.json` (`vocab_size=151,681`) | |
| - `parity_certificate_sha256`: Cryptographic verification digest | |