datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
opc-annealing-corpus
OpenCoder Dataset
The OpenCoder dataset is composed of the following datasets:
opc-sft-stage1: the sft data used for opencoder sft-stage1
opc-sft-stage2: the sft data used for opencoder sft-stage2
opc-annealing-corpus: the synthetic data & algorithmic corpus used for opencoder annealing <-- you are here
fineweb-code-corpus: the code-related page recalled from fineweb
fineweb-math-corpus: the math-related page recalled from finewebrefineCode-code-corpus-meta: the meta-data of… See the full description on the dataset page: https://huggingface.co/datasets/OpenCoder-LLM/opc-annealing-corpus.OpenCodeReasoning2opencoderinstruct_trajectoryOpenCoder-LLM_opc-sft-stage1-DolphinLabeled
OpenCoder-LLM SFT DolphinLabeled
Part of the DolphinLabeled series of datasets
Presented by Eric Hartford and Cognitive Computations
The purpose of this dataset is to enable filtering of OpenCoder-LLM SFT dataset.
The original dataset is OpenCoder-LLM/opc-sft-stage1
I have modified the dataset using two scripts.
dedupe.py - removes rows with identical instruction
label.py - adds a "flags" column containing the following boolean values:
"refusal": whether the… See the full description on the dataset page: https://huggingface.co/datasets/QuixiAI/OpenCoder-LLM_opc-sft-stage1-DolphinLabeled.OpenCoder-LLM_opc-sft-stage2-DolphinLabeled
OpenCoder-LLM SFT DolphinLabeled
Part of the DolphinLabeled series of datasets
Presented by Eric Hartford and Cognitive Computations
The purpose of this dataset is to enable filtering of OpenCoder-LLM SFT dataset.
The original dataset is OpenCoder-LLM/opc-sft-stage2
I have modified the dataset using two scripts.
dedupe.py - removes rows with identical instruction
label.py - adds a "flags" column containing the following boolean values:
"refusal": whether the… See the full description on the dataset page: https://huggingface.co/datasets/QuixiAI/OpenCoder-LLM_opc-sft-stage2-DolphinLabeled.deepseek-v3.2-speciale-OpenCodeReasoning-3kThe questions for this dataset were all sourced from the first 3k prompts in nvidia/OpenCodeReasoning
Dataset Stats (provided by OpenRouter):
Cost: $ 19.2 (USD)
Tokens (input + output): 47 M
nvidia-OpenCodeReasoning-short-n-easyOpenCodeReasoning-Cleaned-GRPO
OpenCodeReasoning-Cleaned-GRPO
Deep-cleaned for GRPO/RL training | 500 examples | 525 bugs fixed
📋 Dataset Description
Code reasoning and critique prompts extracted from NVIDIA's OpenCodeReasoning-2 dataset. This cleaned version removes formatting artifacts, HTML tags, and whitespace issues that would degrade GRPO/RL training quality.
Original source: nvidia/OpenCodeReasoning-2 by NVIDIA
📊 Cleaning Statistics
Metric
Value
Original… See the full description on the dataset page: https://huggingface.co/datasets/Eyght/OpenCodeReasoning-Cleaned-GRPO.grpo-opencoder-50k
grpo-opencoder-50k
This dataset was created by converting another dataset to JSONL format.
Files
dataset.jsonl: Dataset in JSONL format
Usage
from datasets import load_dataset
dataset = load_dataset("Nutanix/grpo-opencoder-50k", data_files="dataset.jsonl")
deepseek-v3.2-speciale-OpenCodeReasoning-3kThe questions for this dataset were all sourced from the first 3k prompts in nvidia/OpenCodeReasoning
Dataset Stats (provided by OpenRouter):
Cost: $ 19.2 (USD)
Tokens (input + output): 47 M
grpo-opencoder-small
grpo-opencoder-small
This dataset was created by converting another dataset to JSONL format.
Files
dataset.jsonl: Dataset in JSONL format
Usage
from datasets import load_dataset
dataset = load_dataset("Nutanix/grpo-opencoder-small", data_files="dataset.jsonl")
grpo-opencoder-mini
grpo-opencoder-mini
This dataset was created by converting another dataset to JSONL format.
Files
dataset.jsonl: Dataset in JSONL format
Usage
from datasets import load_dataset
dataset = load_dataset("Nutanix/grpo-opencoder-mini", data_files="dataset.jsonl")
spider-rollouts-openthoughts-3-qwen32b-opencodereasoning-split-0-512cleaned_nvidia_OpenCodeReasoning元データ: https://huggingface.co/datasets/nvidia/OpenCodeReasoning
データ件数: 11,275
平均トークン数: 11251
最大トークン数: 19,802
合計トークン数: 126,859,041
ファイル形式: JSONL
ファイルサイズ: 707.4 MB
難易度スコアが15, カテゴリがcompetition、ライセンスがmitとcc-by-4.0をピックアップ
繰り返し除去
極端に少ない・多いなどを除去
詳しいコードはGithub
https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/opencodereasoning
open-code-reasoning-selectedcleaned_OpenCodeReasoningopencoder2-textopencoder_data_batch
