task_categories:text-generation size_categories:1M<n<10M language:en license:apache-2.0 region:us
---
license: apache-2.0
task_categories:
- text-generation
language:
- en
size_categories:
- 1M<n<10M
pretty_name: tiny-instruct
---
# tiny-instruct-v1
This dataset is collated from multiple other open-source datasets (de-duplicated). This has a total of ~6M rows each with an instruction and response (single-turn converstion).

#### Code Datasets:
1. [CodeAlpaca_20K](https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K)
2. [CodeExercise-Python-27k](https://huggingface.co/datasets/codefuse-ai/CodeExercise-Python-27k)
3. [Evol-Instruct-Code-80k-v1](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1)
4. [tiny-codes](https://huggingface.co/datasets/nampdn-ai/tiny-codes)
5. [Evol-instruction-66k](https://huggingface.co/datasets/codefuse-ai/Evol-instruction-66k)
6. [sciphi-python-textbook](https://huggingface.co/datasets/emrgnt-cmplxty/sciphi-python-textbook)
7. [programming_books_llama](https://huggingface.co/datasets/open-phi/programming_books_llama)
8. [WizardLM_evol_instruct_70k](https://huggingface.co/datasets/WizardLM/WizardLM_evol_instruct_70k)

#### Math Datasets:
1. [MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA)
2. [arxiv-math-instruct-50k](https://huggingface.co/datasets/ArtifactAI/arxiv-math-instruct-50k)
3. [MathInstruct](https://huggingface.co/datasets/TIGER-Lab/MathInstruct)

#### General Datasets:
1. [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca)
2. [claude_evol_instruct_210k](https://huggingface.co/datasets/Norquinal/claude_evol_instruct_210k)