datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lca-module-summarization
🏟️ Long Code Arena (Module summarization)
This is the benchmark for Module summarization task as part of the
🏟️ Long Code Arena benchmark.
The current version includes 216 manually curated text files describing different documentation of open-source permissive Python projects.
The model is required to generate such description, given the relevant context code and the intent behind the documentation.
All the repositories are published under permissive licenses (MIT, Apache-2.0… See the full description on the dataset page: https://huggingface.co/datasets/JetBrains-Research/lca-module-summarization.large-scale-multimodal-multilingual-summarization-datasetPlease cite this paper if you use our code or data:
@inproceedings{verma-etal-2023-large,
title = "Large Scale Multi-Lingual Multi-Modal Summarization Dataset",
author = "Verma, Yash and
Jangra, Anubhav and
Verma, Raghvendra and
Saha, Sriparna",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher =… See the full description on the dataset page: https://huggingface.co/datasets/Zenquiorra/large-scale-multimodal-multilingual-summarization-dataset.benchname-module-summarization
🥷 BenchName (Module summarization)
This is the benchmark for Module summarization task as part of the
🥷 BenchName benchmark.
The current version includes 216 manually curated text files describing different documentation of open-source permissive Python projects.
The model is required to generate such description, given the relevant context code and the intent behind the documentation.
All the repositories are published under permissive licenses (MIT, Apache-2.0, BSD-3-Clause… See the full description on the dataset page: https://huggingface.co/datasets/anon-iclr-submission/benchname-module-summarization.semisupervised-abstractive-summarization-ms-news