Update README.md

README.md

@@ -1,25 +1,23 @@
----
-dataset_info:
-  features:
-  - name: abstract_id
-    dtype: int64
-  - name: line_id
-    dtype: string
-  - name: abstract_text
-    dtype: string
-  - name: line_number
-    dtype: int64
-  - name: total_lines
-    dtype: int64
-  - name: target
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 458910072
-    num_examples: 2211861
-  download_size: 210733145
-  dataset_size: 458910072
----
-# Dataset Card for "PubMed-200k-RTC"
+# 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).
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## 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.