| --- |
| license: cc-by-4.0 |
| task_categories: |
| - automatic-speech-recognition |
| language: |
| - en |
| - he |
| tags: |
| - audio |
| - code-switching |
| - hebrish |
| - validation |
| pretty_name: Hebrish Validation |
| configs: |
| - config_name: default |
| data_files: |
| - split: validation |
| path: data/validation-*.parquet |
| - config_name: long |
| data_files: |
| - split: validation |
| path: long/validation-*.parquet |
| --- |
| |
| # Hebrish Validation |
|
|
| A validation benchmark for the [Hebrish](https://huggingface.co/Hebrish) English-Hebrew code-switching speech |
| recognition models (Sabich and the other lines). Each row is one continuous read of a fixed script of about one |
| minute, with the script as the exact reference transcript. Takes are recorded in the Hebrish capture app; the device |
| each one was recorded on is in its `device` column. |
|
|
| It complements the public benchmark test set v2, |
| [Hebrish/English-Hebrew-Codeswitching-ASR-Benchmark](https://huggingface.co/datasets/Hebrish/English-Hebrew-Codeswitching-ASR-Benchmark) |
| (short sentences); it does not replace it. Here the model hears long-form speech the way it is dictated: whole |
| paragraphs, ordinary devices and rooms. |
|
|
| **Never used for training.** These recordings are excluded from the Hebrish training corpus and from every |
| dataset derived from it. The script sentences are not in any sentence bank used for recording training data. |
|
|
| ## Scripts |
|
|
| Three categories, written in English with Hebrew words in the Hebrish romanization: |
|
|
| | Category | What it tests | |
| | --- | --- | |
| | `codeswitch` | everyday English with romanized Hebrew terms (kupat cholim, ishur, tzaharon) | |
| | `tech` | English technical vocabulary (Kubernetes, PostgreSQL, TLS) | |
| | `mixed` | both in one script | |
|
|
| Transcripts keep to plain ASCII letters, digits and `. , ? ! ' : - / % $`. |
|
|
| ## Versioning |
|
|
| Set **v1.0** (2026-11-02). Scripts change only with a new set version. `script_revision` (the first 12 hex |
| digits of the SHA-256 of the reference text) pins the exact text each recording was read from. |
|
|
| ## Speakers |
|
|
| So far one speaker, Daniel Rosehill (male, Irish-born, living in Israel). Recordings by other speakers are very |
| welcome: contact the Hebrish project through https://hebrish.app/feedback. |
|
|
| ## Columns |
|
|
| | Column | What it is | |
| | --- | --- | |
| | `audio` | the recording, mono FLAC (48 kHz / 24-bit from the capture app; see `sample_rate`, `bit_depth`) | |
| | `text` | the reference transcript (the script) | |
| | `script_id` | the script, e.g. `cs-01`, `tech-02`, `mixed-03` | |
| | `category` | `codeswitch`, `tech` or `mixed` | |
| | `set_version` | the script set, e.g. `v1.0` | |
| | `script_revision` | SHA-256 prefix of `text` | |
| | `duration_s`, `sample_rate`, `bit_depth` | audio format | |
| | `device` | the device and browser the take was recorded on | |
| | `microphone` | the input used, where the phone reports it | |
| | `speaker` | who read it | |
| | `created_at` | when it was recorded (UTC) | |
| | `take_id` (= `id`) | the recording's id. A script can have several takes; an evaluator should use the latest per script and speaker. | |
|
|
| Index without the audio: `meta/validation.jsonl` (each row's shard and the byte range of its FLAC in it). |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("Hebrish/Hebrish-Validation", split="validation") |
| ``` |
|
|
| ## Long-form config (`long`) |
|
|
| The same takes joined into longer files, so a model is also scored on minutes of continuous dictation. One row per |
| group and speaker: `codeswitch`, `tech` and `mixed` (that category's four scripts, about 3 to 4 minutes each) |
| and `all` (all twelve, about 10 minutes). Each uses the latest take of every script, in script order, joined with |
| 1.0 s of silence; `text` is the scripts' texts in the same order, separated by a blank line. Columns: `audio`, |
| `text`, `group`, `set_version`, `script_ids`, `take_ids` and `script_revisions` (the takes used, in order), |
| `gap_s`, `duration_s`, `sample_rate`, `bit_depth`, `speaker`, `built_at`. Rebuilt when takes change. |
|
|
| ```python |
| long = load_dataset("Hebrish/Hebrish-Validation", "long", split="validation") |
| ``` |
|
|
| ## Licence |
|
|
| CC BY 4.0, as the rest of the Hebrish datasets. |
|
|
