Update README.md

README.md

@@ -1,4 +1,19 @@
 ---
+license: cc-by-nc-nd-4.0
+task_categories:
+- automatic-speech-recognition
+language:
+- en
+tags:
+- particle-physics
+- speech-corpus
+- domain-adaptation
+- longform
+- segments
+- manual-transcription
+- cern
+size_categories:
+- 100K<n<1M
 dataset_info:
 - config_name: longform
   features:
@@ -74,3 +89,86 @@ configs:
   - split: test_2022
     path: segments/test_2022-*
 ---
+
+# LHCP-ASR
+
+This dataset is another version of the [LHCP-ASR](https://www.mllp.upv.es/lhcp-asr) corpus, an English speech dataset for narrow-domain ASR benchmarking in high-energy physics. Unlike the original distribution, which includes video and slides, 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:
+
+```python
+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:
+
+```bibtex
+@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](https://www.mllp.upv.es/lhcp-asr).
+
+LEGAL DISCLAIMER
+---------------
+Speech and text data were provided by the [European Organization 
+for Nuclear Research (CERN)](https://home.cern/) under PO OV9177345.
+The following disclaimers are those available in the [CERN Document Server (CDS)](https://cds.cern.ch/) repository on May 30th, 2025:
+
+#### CERN Document Server - Terms and Conditions
+[![DOI](https://repository.cern/badge/DOI/10.17181/s2cm2-jaj10.svg)](https://doi.org/10.17181/s2cm2-jaj10)
+
+Use of the CERN Document Server service (hereafter "CDS") denotes agreement with the following terms of use:
+
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+
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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/