---
license: other
language:
- yi
task_categories:
- automatic-speech-recognition
tags:
- yiddish
- asr
- benchmark
- multi-genre
pretty_name: Yiddish ASR Benchmark (Multi-Genre)
---

# Yiddish ASR Benchmark (Multi-Genre)

A small, genre-diverse Yiddish ASR benchmark seed set: 6 clips (~53 minutes total), one per
genre, each with a Gemini-generated verbatim reference transcript. Intended to complement the
existing single-speaker Yiddish24 collections (`Kohn-AI/yiddish24-audio`,
`Kohn-AI/yiddish24-wav`, `ABE101/yiddish24-dual-asr`) with broader genre coverage for
benchmarking rather than training.

All source audio is from [yiddish24.com](https://yiddish24.com).

| field | meaning |
|---|---|
| `file_name` | audio (mp3) under `data/` |
| `genre` | one of `torah_shiur`, `news`, `interview`, `monologue_podcast`, `general_podcast`, `vlog` |
| `title` | episode/segment title |
| `speaker` | presenter/host name, where applicable |
| `category_path` | yiddish24.com category the source came from |
| `track_id` | yiddish24 post id(s); `news` clip concatenates 3 bulletins, ids `;`-separated |
| `source_url` | original cloudfront/cdn url(s); `;`-separated for the concatenated `news` clip |
| `clip_offset_sec` | start offset (seconds) into the original recording where this clip begins |
| `duration_sec` | clip duration |
| `text_gemini` | reference transcript (Yiddish, Hebrew script), verbatim, unclear spans marked `[?]` |
| `transcription_model` | model used to produce `text_gemini` |

## Genres

| genre | title | source |
|---|---|---|
| `torah_shiur` | פרשת דברים | הרה"ג ר' גמליאל ראבינאוויטש שליט"א |
| `news` | 3 concatenated news bulletins | Kol Mevaser news desk |
| `interview` | הרב דוד פינטער - עמעזאן דיסטריבורטער | אלגעמיינע אינטערוויוס |
| `monologue_podcast` | קול מדע | משה נחום קרויס |
| `general_podcast` | טשיקאווע ברעקלעך | יושע ווייס |
| `vlog` | עיטש וואק קאמפאני | חיים פערלאוויטש שאו |

**6 clips · ~53 min.**

## Reference transcript method

`text_gemini` was produced by `google/gemini-3.1-pro-preview`, called via the Vercel AI Gateway
chat completions endpoint with the audio file attached as a `file` content part
(`media_type: audio/mpeg`) and a verbatim-transcription prompt. These are a first-pass gold
standard — worth a human spot-check before treating as strict ground truth, especially for
proper nouns and numbers. Unclear audio is marked `[?]` in the transcript.

```python
from datasets import load_dataset
ds = load_dataset("Kohn-AI/yiddish-asr-benchmark")
```