---
language:
- en
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  splits:
  - name: train
    num_bytes: 3111855.6398965064
    num_examples: 2000
  - name: validation
    num_bytes: 311390.6933457422
    num_examples: 200
  - name: test
    num_bytes: 311850.6638180986
    num_examples: 200
  download_size: 1739330
  dataset_size: 3735096.9970603473
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

This dataset was designed for the fine-tune of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co./HuggingFaceTB/SmolLM2-135M-Instruct) using GRPO.
It is designed to summarize Reddit posts.

You can reproduce this training using this [colab notebook](https://colab.research.google.com/drive/13mRqgRIvMGGgkQfJL4CS0lzcL4Vl9xUN?usp=sharing). It takes about 40 minutes to train the model.