unslothai/unsloth

Kaggle - GPT OSS Data set

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#3,400 opened on Oct 2, 2025

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Description

Hi I am trying ot run the kaggle version but I have a list of .md files which I wan to feed the model to train and then export the model. but is .md file enough to feed model I can see you have this ,

from datasets import Dataset
dataset = Dataset.from_list([{"prompt" : [{"role": "user", "content": prompt.strip()}], "answer" : 0, "reasoning_effort": "low"}]*1000)
maximum_length = len(tokenizer(prompt.strip())["input_ids"])
print(maximum_length)
dataset[0]

given that I wan this plus all my md files , how best to merge these any tips

Contributor guide

Research direction
Convert your .md files into a list of dictionaries with 'prompt' and 'answer' keys, then use Dataset.from list() and concatenate with the existing dataset using datasets.concatenate datasets().
Tech stack
python
Domain
machine learningai
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
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Active
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Clear
Prerequisites
Pythondatasets
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75