### Dataset Summary

First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250).

### Usage

```
from datasets import load_dataset

train_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="train")
val_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="validation")
test_dataset = load_dataset("ronitHF/pubmed-10k-8.1.1", split="test")
```

task_categories:summarization size_categories:1K<n<10K region:us
{"size_categories": ["1K<n<10K"], "task_categories": ["summarization"], "pretty_name": "PubMed 10k (8:1:1)"}
TAGS
#task_categories-summarization #size_categories-1K<n<10K #region-us 

### Dataset Summary

First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250).

### Usage



### Dataset Summary

First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250). ### Usage
TAGS
#task_categories-summarization #size_categories-1K<n<10K #region-us 
 ### Dataset Summary

First 10k rows of the scientific_papers["pubmed"] dataset. 8:1:1 split (10000:1250:1250). ### Usage