| --- |
| language: |
| - zh |
| - en |
| license: apache-2.0 |
| size_categories: |
| - n<1K |
| task_categories: |
| - automatic-speech-recognition |
| pretty_name: AASRBench |
| tags: |
| - speech |
| - audio |
| - asr-evaluation |
| --- |
| |
| # AASRBench |
|
|
| AASRBench is a bilingual audio benchmark for evaluating ASR output on spoken-language cleanup, correction, formatting, filtering, and rephrasing. |
|
|
| This repository contains the benchmark presented in [AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach](https://huggingface.co/papers/2607.28175). |
|
|
| Code: https://github.com/AnXMuy/AgenticASR |
|
|
| ## Contents |
|
|
| - 917 benchmark samples. |
| - 917 WAV files referenced by the benchmark records. |
| - 6,637 rubric questions across `content`, `format`, `filter`, and `rephrase`. |
| - 11 scenes: `academic`, `customer_service`, `daily_chat`, `dictation_memo`, `explanation`, `meeting`, `navigation`, `passthrough`, `tech`, `vibe_coding`, and `voice_search`. |
| - 510 Chinese samples and 407 English samples. |
|
|
| The 41 additional WAV files in the source working directory were marked obsolete and are not included in this release. |
|
|
| ## Files |
|
|
| ```text |
| data/ |
| ├── benchmark.jsonl |
| ├── rubric.json |
| ├── rubric.jsonl |
| └── audio/ |
| └── *.wav |
| metadata/ |
| ├── manifest.json |
| ├── sha256sums.txt |
| └── validation-report.json |
| ``` |
|
|
| `benchmark.jsonl` contains one JSON object per line. Each record includes `source_record_id`, `audio`, `oral`, `clean`, `scene`, `language`, and voice metadata. The `audio` value is a path relative to `data/`, for example `audio/academic__recheckjsonl10.wav`. |
|
|
| `rubric.json` stores the rubric as an `items` array. `rubric.jsonl` stores the same rubric items as JSONL records. Benchmark and rubric records are joined by `source_record_id`. |
|
|
| ## Rubric Options |
|
|
| The rubric parser accepts these three equivalent encodings: |
|
|
| 1. An array of objects with `text` and `score` fields. |
| 2. An array of strings such as `"pass (1)"`. |
| 3. One comma-separated string such as `"pass (1), fail (0)"`. |
|
|
| Both English and Chinese parentheses are accepted. The score categories are documented in `metadata/manifest.json` and the source benchmark statistics. |
|
|
| ## Validation |
|
|
| The release files are checked with the included SHA-256 manifest: |
|
|
| ```bash |
| sha256sum -c metadata/sha256sums.txt |
| ``` |
|
|
| `metadata/validation-report.json` records the local structural validation result. The expected release scope is 917 benchmark records, 917 rubric records, and 917 referenced audio files. |
|
|
| ## License and Provenance |
|
|
| The code is released under the Apache License 2.0. Redistribution rights, audio provenance, annotation provenance, and privacy review should be confirmed by the dataset owner before downstream redistribution. |
|
|
| ## Repository Names |
|
|
| - Display name: `AASRBench` |
| - Hugging Face: `Andrew0425/AASR-Bench` |
| - ModelScope: `MuyuanJ/AASR-Bench` |
