LHCP-ASR

This dataset is another version of the LHCP-ASR corpus, an English speech dataset for narrow-domain ASR benchmarking in high-energy physics. Unlike the original distribution, which includes video, slides and text data, this version focuses entirely on audio-text pairs

DESCRIPTION

The speech data are 30 hours of LHCP plenary conference talks (2020, 2022) with manual (human) verbatim transcriptions and 205 hours of LHCP conference talks (2020-2022) with automatic verbatim transcriptions (pseudo-labels) for training/adaptation. This version has been released in two formats: segments of the talks (less than 30s each) and longform, which provides the full talk.

Data structure

Each sample in the dataset contains:

• audio
• transcription

USAGE

You can load this dataset directly using the datasets library:

from datasets import load_dataset

# Segmented version
segmented_dataset = load_dataset("mllp/LHCP-ASR", "segments")

# Longform version
longform_dataset = load_dataset("mllp/LHCP-ASR", "longform")

Both configurations (longform and segments) include the following splits:

• train
• dev_2020
• dev_2022
• test_2020
• test_2022

CITATION

If you use this dataset, please cite the original work:

@inproceedings{santamariajorda25_interspeech,
  title     = {{LHCP-ASR: An English Speech Corpus of High-Energy Particle Physics Talks for Narrow-Domain ASR Benchmarking}},
  author    = {Jaume Santamaría-Jordà and Pablo Segovia-Martínez and Gonçal V. {Garcés Díaz-Munío} and Joan Albert Silvestre-Cerdà and Adrià Giménez and Rubén {Gaspar Aparicio} and René {Fernández Sánchez} and Jorge Civera and Albert Sanchis and Alfons Juan},
  year      = {2025},
  booktitle = {{Interspeech 2025}},
  pages     = {4033--4037},
  doi       = {10.21437/Interspeech.2025-2630},
  issn      = {2958-1796},
}

For more details on the original dataset, visit www.mllp.upv.es/lhcp-asr.

LEGAL DISCLAIMER

Speech and text data were provided by the European Organization for Nuclear Research (CERN) under PO OV9177345. The following disclaimers are those available in the CERN Document Server (CDS) repository on May 30th, 2025:

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LICENSE

This dataset is licenced under CC-BY-NC-ND 4.0. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-nd/4.0/