mllp/LHCP-ASR-segments

LHCP-ASR Segments

This dataset is a segment-level distribution derived from mllp/LHCP-ASR (and the original LHCP-ASR repository), an English speech corpus for narrow-domain ASR benchmarking in high-energy particle physics.

Unlike previous versions, this repository provides audio directly at the segment level (<30 seconds each) for evaluation, adds talk-level metadata and cleans up transcription tags.

Differences from mllp/LHCP-ASR

1. No subsets: Directly formatted as segments (<30s audio chunks). There is no longform configuration.
2. Evaluation splits: Specifically contains the test partitions:
   • test.2020
   • test.2022
3. Text normalization: Occurrences of <UNK> (used in manual transcriptions to mark unintelligible speech) have been removed.
4. Metadata: Each sample now contains talk-level metadata fields (talk_id, segment_pos, title and speaker_id).

Metadata fields

• talk_id (str): Identifier for the talk to which the segment belongs.
• segment_pos (int): Sequential position of the segment within the talk.
• title (str): Title of the plenary talk.
• speaker_id (str): Identifier of the primary speaker of the talk. This field refers to the assigned presenter of the talk, not strictly the voice heard in every segment. Segments may contain speech from session chairs or Q&A audience members.

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Usage

You can load the dataset directly using the Hugging Face datasets library:

from datasets import load_dataset

# Load the full dataset
dataset = load_dataset("mllp/LHCP-ASR-segments")

# Or load a specific test split
test_2020 = load_dataset("mllp/LHCP-ASR-segments", split="test.2020")
test_2022 = load_dataset("mllp/LHCP-ASR-segments", split="test.2022")

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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 https://github.com/mllpresearch/LHCP-ASR.

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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/