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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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pretty_name: section 5 zst datasets |
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--- |
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# Hugging Face course section 5 .zst datasets |
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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). |
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## Data sources |
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- PubMed-200k-RTC:<br>https://www.kaggle.com/datasets/matthewjansen/pubmed-200k-rtc/download?datasetVersionNumber=5 |
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- LegalText-classification:<br>https://www.kaggle.com/datasets/shivamb/legal-citation-text-classification/download?datasetVersionNumber=1 |
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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 from Kaggle. However, you actually don't need to download (and preprocess) them from Kaggle – you can just use them as shown in the following **Usage** section. |
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## Usage |
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To load a dataset from this repo, run |
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```python |
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import zstandard |
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from datasets import load_dataset |
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load_dataset("json", data_files=url, split="train") |
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``` |
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where `url` should be one of the following download links: |
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- `LegalText-classification_train.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/LegalText-classification_train.jsonl.zst, |
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- `LegalText-classification_train_min.jsonl.zst`:<br>https://huggingface.co/datasets/mdroth/PubMed-200k-RTC/resolve/main/data/LegalText-classification_train_min.jsonl.zst, |
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- `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 |
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- `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. |
