datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Raiden-DeepSeek-R1Click here to support our open-source dataset and model releases!
Raiden-DeepSeek-R1 is a dataset containing creative-reasoning and analytic-reasoning responses, testing the limits of DeepSeek R1's reasoning skills!
This dataset contains:
63k 'creative_content' and 'analytical_reasoning' prompts from microsoft/orca-agentinstruct-1M-v1, with all responses generated by deepseek-ai/DeepSeek-R1.
Responses demonstrate the reasoning capabilities of DeepSeek's 685b parameter R1 reasoning model.… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Raiden-DeepSeek-R1.Genshin_Impact_RaidenShogun_Voice_koreanRaiden-Mini-DeepSeek-V3.2-SpecialeClick here to support our open-source dataset and model releases!
Raiden-Mini-DeepSeek-V3.2.Speciale is a dataset containing creative-reasoning and analytic-reasoning responses, testing the limits of DeepSeek-V3.2.Speciale's reasoning skills!
This dataset contains:
a default subset of ~8k 'creative_content' and 'analytical_reasoning' prompts from sequelbox/Raiden-DeepSeek-R1, with all responses generated by DeepSeek V3.2 Speciale.
provides an unfiltered look into the reasoning skills of… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Raiden-Mini-DeepSeek-V3.2-Speciale.Raiden-DeepSeek-R1-PREVIEWThis is a preview of the full Raiden-Deepseek-R1 creative and analytical reasoning dataset, containing the first ~6k rows. Get the full dataset here!
This dataset uses synthetic data generated by deepseek-ai/DeepSeek-R1.
The initial release of Raiden uses 'creative_content' and 'analytical_reasoning' prompts from microsoft/orca-agentinstruct-1M-v1.
Dataset has not been reviewed for format or accuracy. All responses are synthetic and provided without editing.
Use as you will.
sequelbox_Raiden-DeepSeek-R1-Shuffled-ShareGPTimport json
from tqdm import tqdm
from datasets import load_dataset
import pandas as pd
# Example usage:
dataset = load_dataset("sequelbox/Raiden-DeepSeek-R1")["train"]
dataset = dataset.shuffle(seed=42)
output_file = "./sequelbox_Raiden-DeepSeek-R1-Shuffled-ShareGPT.parquet"
data = []
for item in tqdm(dataset):
if item["prompt"].strip() == "" or item["response"].strip() == "":
continue
data.append(
{
"conversations": [
{… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/sequelbox_Raiden-DeepSeek-R1-Shuffled-ShareGPT.Raiden-DeepSeek-R1-llama3.1-v1sequelbox_Raiden-DeepSeek-R1-PREVIEW-Shuffled-ShareGPTRaiden-DeepSeek-R1-modtokenRaiden-DeepSeek-R1-llama3.1