Update parquet files

README.md

@@ -1,52 +0,0 @@
----
-license: mit
-task_categories:
-- summarization
-- text2text-generation
-language:
-- en
-size_categories:
-- 10K<n<100K
-source_datasets: tomasg25/scientific_lay_summarisation
----
-
-# scientific_lay_summarisation - elife - normalized
-
-
-
-## Contents 
-
-loadwith datasets:
-
-```python
-from datasets import load_dataset
-
-# If the dataset is gated/private, make sure you have run huggingface-cli login
-dataset = load_dataset("pszemraj/scientific_lay_summarisation-elife-norm")
-dataset
-```
-Output:
-
-```python
-DatasetDict({
-    train: Dataset({
-        features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
-        num_rows: 4346
-    })
-    test: Dataset({
-        features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
-        num_rows: 241
-    })
-    validation: Dataset({
-        features: ['article', 'summary', 'section_headings', 'keywords', 'year', 'title', 'article_length', 'summary_length'],
-        num_rows: 241
-    })
-})
-```
-
-
-## Lengths 
-
-Train set:
-
-![t5-tokens](https://i.imgur.com/8BQrbgs.png)

test.parquet → pszemraj--scientific_lay_summarisation-elife-norm/parquet-test.parquet

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train.parquet → pszemraj--scientific_lay_summarisation-elife-norm/parquet-train.parquet

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validation.parquet → pszemraj--scientific_lay_summarisation-elife-norm/parquet-validation.parquet

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