# Wikitext

### Paper

Pointer Sentinel Mixture Models
https://arxiv.org/pdf/1609.07843.pdf

The WikiText language modeling dataset is a collection of over 100 million tokens
extracted from the set of verified Good and Featured articles on Wikipedia.

NOTE: This `Task` is based on WikiText-2.

Homepage: https://www.salesforce.com/products/einstein/ai-research/the-wikitext-dependency-language-modeling-dataset/


### Citation

```
@misc{merity2016pointer,
    title={Pointer Sentinel Mixture Models},
    author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},
    year={2016},
    eprint={1609.07843},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

### Subtasks

### Checklist

- [x] Is in Eval-harness v1.0 ?
- [x] Has been checked for regression from v1.0?
- [ ] Has been checked for equivalence with original paper methodology?
- [ ] "Main" checked variant clearly denoted?