datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
atcoder_abc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_abc_contests.agentsim-atc
AgentSim Agent-Trace Corpus (ATC)
Grounded reasoning traces of retrieval-augmented question-answering agents,
generated by the AgentSim platform. 103,567 reasoning steps spanning
three established IR benchmarks (Quasar-T 38,915 + CausalQA 36,192 +
MSMARCO 28,460), with 20,548 supervised query-document-answer triples
extracted for fine-tuning, and 199,968 unique retrieved documents.
Every reasoning step traces back to specific documents in the source
corpus, enabling step-level… See the full description on the dataset page: https://huggingface.co/datasets/searchsim/agentsim-atc.atcoder_arc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_arc_contests.atcoder_agc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_agc_contests.atcoder_awc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_awc_contests.