functions
pane-binding-functions-attributionarxiv_deep_learning_python_research_code_functions_summaries
Dataset Card for "AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code_functions_summaries"
Dataset Description
https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code_functions_summaries
Dataset Summary
AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code_functions_summaries contains summaries for every python function and class extracted from source code files referenced in ArXiv papers. The… See the full description on the dataset page: https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code_functions_summaries.python_functions_reasoningThis is the Python (functions) coding reasoning dataset used to train
Notbad v1.0 Mistral 24B reasoning model.
The reasoning data were sampled from an RL-based self-improved
Mistral-Small-24B-Instruct-2501 model.
The Python functions and instructions were sourced from OpenCoder Dataset Stage1
and from open source projects on Github.
You can try Notbad v1.0 Mistral 24B on chat.labml.ai.
python-stack-v1-functions-filteredBenchMAX_Multiple_Functions
Dataset Sources
Paper: BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
Link: https://huggingface.co/papers/2502.07346
Repository: https://github.com/CONE-MT/BenchMAX
Dataset Description
BenchMAX_Multiple_Functions is a dataset of BenchMAX, sourcing from Nexus.
This dataset evaluates the tool use capability in multilingual senarios, which requires a model to call the correct function given the user query and multiple functions.
We… See the full description on the dataset page: https://huggingface.co/datasets/LLaMAX/BenchMAX_Multiple_Functions.python_functions_filtered
Dataset Card for "python_functions_filtered"
Python functions extracted from starcoder base. Only functions with minimal external dependencies were chosen. They were filtered manually, and also based on learning value and quality.