README.md

---
dataset_info:
  features:
  - name: index
    dtype: int64
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  splits:
  - name: test
    num_bytes: 205214561
    num_examples: 772
  download_size: 199711130
  dataset_size: 205214561
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
---

## Dataset details

This is the blind test set of IWSLT 2025's [model compression track](https://iwslt.org/2025/model-compression).
It consists of audio extracted from ACL presentations.

For training data in the same domain, the [ACL 60/60 dataset](https://huggingface.co/datasets/ymoslem/acl-6060) can be used.


## Citation

```bib
@INPROCEEDINGS{Abdulmumin2025-IWSLT,
  title     = "{Findings of the IWSLT 2025 Evaluation Campaign}",
  author    = "Abdulmumin, Idris and Agostinelli, Victor and Alumäe, Tanel and
               Anastasopoulos, Antonios and {Ashwin} and Bentivogli, Luisa and
               Bojar, Ondřej and Borg, Claudia and Bougares, Fethi and Cattoni,
               Roldano and Cettolo, Mauro and Chen, Lizhong and Chen, William
               and Dabre, Raj and Estève, Yannick and Federico, Marcello and
               Gaido, Marco and Javorský, Dávid and Kasztelnik, Marek and Lam,
               Tsz Kin and Liu, Danni and Matusov, Evgeny and Maurya, Chandresh
               Kumar and McCrae, John P and Mdhaffar, Salima and Moslem, Yasmin
               and Murray, Kenton and Nakamura, Satoshi and Negri, Matteo and
               Niehues, Jan and Ojha, Atul Kr and Ortega, John E and Papi, Sara
               and Pecina, Pavel and Polák, Peter and Połeć, Piotr and Savoldi,
               Beatrice and Sethiya, Nivedita and Sikasote, Claytone and
               Sperber, Matthias and Stüker, Sebastian and Sudoh, Katsuhito and
               Thompson, Brian and Turchi, Marco and Waibel, Alex and Wilken,
               Patrick and Zevallos, Rodolfo and Zouhar, Vilém and Züfle, Maike",
  booktitle = "{Proceedings of the 22nd International Conference on Spoken
               Language Translation (IWSLT 2025)}",
  publisher = "Association for Computational Linguistics",
  address   = "Vienna, Austria (in-person and online)",
  month     =  jul,
  year      =  2025
}
```