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---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: procell-expert
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project procell-expert.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
"text": "We studied the antitumor activity and toxicity of ZD1694 (tomudex), a specific inhibitor of thymidyl[...]",
"target": 0
},
{
"text": "Here we provide data that human prostate cancer cell lines express the platelet-type isoform of 12-L[...]",
"target": 0
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['accept', 'reject'], id=None)"
}
```
### Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
| ------------ | ------------------- |
| train | 155 |
| valid | 40 |
|