---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: pos
    dtype: float64
  splits:
  - name: train
    num_bytes: 5335090828.0
    num_examples: 1002630
  download_size: 3227201658
  dataset_size: 5335090828.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

1,378,234,368 tokens (using the Llama tokenizer, ~1.18b gpt4 tokens) from a deduped pile raw shard, filter len<896, ask-llm ([“How to Train Data-Efficient LLMs”](https://arxiv.org/abs/2402.09668)) w/ [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), keep top 1/4

```
{
  "text": "Once upon a time...",
  "pos": -5.654354325
}
```