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--- |
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dataset_info: |
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features: |
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- name: audio_path |
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dtype: string |
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- name: doc_id |
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dtype: string |
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- name: src_text |
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dtype: string |
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- name: src_text_system |
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dtype: string |
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- name: src_lang |
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dtype: string |
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- name: tgt_lang |
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dtype: string |
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- name: domain |
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dtype: string |
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- name: tgt_system |
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dtype: string |
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- name: tgt_text |
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dtype: string |
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- name: score |
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dtype: float64 |
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- name: audio |
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dtype: audio |
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splits: |
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- name: train |
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num_bytes: 8046291442 |
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num_examples: 33721 |
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- name: train_synthetic |
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num_bytes: 324856288 |
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num_examples: 7000 |
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- name: dev |
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num_bytes: 1241951905 |
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num_examples: 5556 |
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download_size: 71228386133 |
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dataset_size: 9613099635 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: train_synthetic |
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path: data/train_synthetic-* |
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- split: dev |
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path: data/dev-* |
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license: cc-by-nc-nd-4.0 |
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tags: |
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- quality-estimation |
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- speech-translation |
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- speech |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Metrics-Shared Task IWSLT 2026 Train and Dev Set |
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This dataset contains the train and dev sets for the **Speech Translation Metrics Shared Task** at **IWSLT 2026**. More details about the shared task can be found on the [IWSLT website](https://iwslt.org/2026/metrics). |
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The dataset is primarily designed for research in speech translation quality estimation. |
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## Task Goal |
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Given a speech sample and a system-generated translation, the goal is to estimate a score that reflects the translation quality. |
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--- |
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## Dataset Splits |
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### train |
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Contains a mix of: |
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- **IWSLT 2023** human annotations ([details IWSLT 2023](https://aclanthology.org/2023.iwslt-1.1/)) |
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- Previous and following segments can be inferred from the `doc_id` feature. |
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- Human evaluators considered context of one previous and one following segment. |
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- **WMT 2024** human annotations ([details WMT 2024](https://aclanthology.org/2024.wmt-1.1/)) |
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- Evaluated on segmented audio. The information on previous/following segments is not available. |
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- **WMT 2025** human annotations ([details WMT 2025](https://aclanthology.org/2025.wmt-1.22/)) |
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- Evaluated on segmented audio. The information on previous/following segments is not available. |
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### train_synthetic |
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Contains: |
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- **SpeechQE** data ([details SpeechQE](https://aclanthology.org/2024.emnlp-main.1218/)) |
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- Based on Common Voice. |
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- Automatically annotated (synthetic scores). |
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### dev |
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Contains: |
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- **IWSLT 2025 ACL Talks** human annotations ([details IWSLT 2025](https://aclanthology.org/2025.iwslt-1.44/)) |
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- Previous and following segments can be inferred from the `doc_id` feature. |
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- Human evaluators considered context of one previous and one following segment. |
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--- |
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## Features |
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| Column | Type | Description | |
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|--------|------|-------------| |
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| `audio` | `Audio` | The speech waveform of the segment | |
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| `audio_path` | `string` | Path to the audio file | |
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| `doc_id` | `string` | Unique identifier for the segment/document | |
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| `src_text` | `string` | Source text | |
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| `src_text_system` | `string` | Source text system (e.g. human, ASR model) | |
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| `src_lang` | `string` | Source language code (e.g., `en`) | |
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| `tgt_text` | `string` | Target text translation | |
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| `tgt_lang` | `string` | Target language code (e.g., `de`) | |
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| `domain` | `string` | Domain or dataset source | |
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| `tgt_system` | `string` | Target system or model used for translation | |
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| `score` | `float64` | Human or synthetic evaluation score (0–1) | |
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--- |
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## Dataset Card Contact |
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Maike Züfle [@maikezu](https://huggingface.co/maikezu) |
