| # PubMed-200k-RTC | |
| You can use [these datasets](https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/tree/main/data) for whatever you want (note the [Apache 2.0 license](https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/blob/main/data/Apache_2.0), though) but their primary purpose is to serve as a drop-in replacement for the sub-datasets of [The Pile](https://pile.eleuther.ai/) used in [section 5](https://huggingface.co/learn/nlp-course/chapter5/4?fw=pt#what-is-the-pile) of the [HuggingFace course](https://huggingface.co/learn/nlp-course/chapter5/4?fw=pt#what-is-the-pile). | |
| ## Data sources | |
| - PubMed-200k-RTC:<br>https://www.kaggle.com/datasets/matthewjansen/pubmed-200k-rtc/download?datasetVersionNumber=5 | |
| - LegalText-classification:<br>https://www.kaggle.com/datasets/shivamb/legal-citation-text-classification/download?datasetVersionNumber=1 | |
| These are Kaggle datasets. So you need to be logged into a [Kaggle account](https://www.kaggle.com/account/login?phase=startSignInTab&returnUrl=%2F) to download them. | |
| ## Usage | |
| To load a dataset from this repo, run | |
| ```python | |
| import zstandard | |
| from datasets import load_dataset | |
| load_dataset("json", data_files=url, split="train") | |
| ``` | |
| where `url` should be one of the following download links: | |
| - `LegalText-classification_train.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/LegalText-classification_train.jsonl.zst, | |
| - `LegalText-classification_train_min.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/LegalText-classification_train_min.jsonl.zst, | |
| - `PubMed-200k-RTC_train.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/PubMed-200k-RTC_train.jsonl.zst, or | |
| - `PubMed-200k-RTC_train_min.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/PubMed-200k-RTC_train_min.jsonl.zst. | |