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
metadata
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 |
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 |
6718bfe |
Global eCommerce Price & Locale Extraction | 19,246 | 16,495 | 40 | 29/40 (72.5%) |
40/40 (100.0%) |
schwifty |
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 |
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 provenancemcp_tool_name,category,label,input_arguments: Structured MCP tool invocation payloadground_truth_output: Exact JSON output produced by executing the untouched GitHub librarysynthesized_mcp_output: Exact JSON output produced by executing the standalone LLM-synthesizedMCPServermodule (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 withreflection/Beam-1.0-501B-A23Btokenizer.json(vocab_size=151,681)parity_certificate_sha256: Cryptographic verification digest