Thomas Lemberger
commited on
Commit
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Parent(s):
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dataset card
Browse files- README.md +40 -11
- dataset_infos.json +284 -1
README.md
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Data Fields
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`
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### Data Splits
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## Dataset Creation
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annotations_creators:
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- machine-generated
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language_creators:
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- expert-generated
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languages:
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- en
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licenses:
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- cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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- n>1M
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source_datasets: []
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task_categories:
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- sequence-modeling
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task_ids:
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- language-modeling
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---
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# Dataset Card for BioLang
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## Table of Contents
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- [Dataset Card for [Dataset Name]](#dataset-card-for-dataset-name)
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## Dataset Description
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- **Homepage:** https://sourcedata.embo.org
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- **Repository:** https://github.com/source-data/soda-roberta
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:** [email protected]
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- **Download Size:** 5_299_878_661
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### Dataset Summary
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BioLang is a dataset is based on abstracts from the open access section of EuropePubMed Central to train language models in the domain of biology. The dataset can be used for random masked language modeling or for language modeling using only specific part-of-speech maksing. More details on generation and use of the dataset at https://github.com/source-data/soda-roberta .
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### Supported Tasks and Leaderboards
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### Data Fields
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`MLM`:
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- `input_ids`: a `list` of `int32` features.
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- `special_tokens_mask`: a `list` of `int8` features.
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`DET`, `VERB`, `SMALL`:
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- `input_ids`: a `list` of `int32` features.
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- `tag_mask`: a `list` of `int8` features.
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### Data Splits
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- train:
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- features: ['input_ids', 'special_tokens_mask'],
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- num_rows: 12_005_390
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- test:
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- features: ['input_ids', 'special_tokens_mask'],
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- num_rows: 37_112
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- validation:
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- features: ['input_ids', 'special_tokens_mask'],
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- num_rows: 36_713
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## Dataset Creation
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dataset_infos.json
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{
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{
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"MLM": {
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"description": "This dataset is based on abstracts from the open access section of EuropePubMed Central to train language models in the domain of biology. \n",
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"citation": "@Unpublished{\n huggingface: dataset,\n title = {biolang},\n authors={Thomas Lemberger, EMBO},\n year={2021}\n}\n",
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"homepage": "https://europepmc.org/downloads/openaccess",
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"license": "CC BY 4.0",
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"features": {
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"DET": {
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"description": "This dataset is based on abstracts from the open access section of EuropePubMed Central to train language models in the domain of biology. \n",
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"citation": "@Unpublished{\n huggingface: dataset,\n title = {biolang},\n authors={Thomas Lemberger, EMBO},\n year={2021}\n}\n",
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"homepage": "https://europepmc.org/downloads/openaccess",
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"download_checksums": {
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"size_in_bytes": 17279538393
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},
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"SMALL": {
|
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"description": "This dataset is based on abstracts from the open access section of EuropePubMed Central to train language models in the domain of biology. \n",
|
220 |
+
"citation": "@Unpublished{\n huggingface: dataset,\n title = {biolang},\n authors={Thomas Lemberger, EMBO},\n year={2021}\n}\n",
|
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"homepage": "https://europepmc.org/downloads/openaccess",
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"license": "CC BY 4.0",
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"features": {
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"input_ids": {
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"feature": {
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"dtype": "int32",
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