datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dolci-RL-Zero-Code-7B
Dolci RL-Zero Code
Dolci RL-Zero Code is a dataset of 13.3k coding questions and answers for RLVR training of Olmo 3 7B RL-Zero Code
This dataset was collected from the code subset of Dolci Think SFT 7B, see the Olmo 3 paper for details.
Downloading
You can download and load this data using HuggingFace's datasets library with the following code:
from datasets import load_dataset
dataset = load_dataset("allenai/Dolci-RL-Zero-Code-7B", split="train",)
Licensing… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-RL-Zero-Code-7B.Dolci-RL-Zero-Math-7B
Dolci RL-Zero Math
Dolci RL-Zero Math is a dataset of 13.3k math questions and answers for RLVR training of Olmo 3 RL-Zero Math 7B
This dataset was collected from a subset of DAPO Math and Klear Reasoner Math, see the Olmo 3 paper for details.
Downloading
You can download and load this data using HuggingFace's datasets library with the following code:
from datasets import load_dataset
dataset = load_dataset("allenai/Dolci-RL-Zero-Math-7B", split="train",)… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-RL-Zero-Math-7B.Dolci-RL-Zero-IF-7B
Dolci RL-Zero IF
Dolci RL-Zero IF is a dataset of 13.3k instruction-following prompts and answers for RLVR training of Olmo 3 7B RL-Zero IF
This dataset was collected from the instruction-following subset of Dolci Think SFT 7B, see the Olmo 3 paper for details.
Downloading
You can download and load this data using HuggingFace's datasets library with the following code:
from datasets import load_dataset
dataset = load_dataset("allenai/Dolci-RL-Zero-IF-7B", split="train",)… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-RL-Zero-IF-7B.Dolci-RL-Zero-Mix-7B
Dolci RL-Zero Mix
Dolci RL-Zero Mix is a dataset of 39.9k math, code, and instruction-following prompts and answers for RLVR training of Olmo 3 7B RL-Zero Mix
This dataset is mix of Dolci RLZero Math 7B, Dolci RLZero Code 7B, Dolci RLZero IF 7B, and Dolci RL Zero General 7B, see the Olmo 3 paper for details.
Downloading
You can download and load this data using HuggingFace's datasets library with the following code:from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-RL-Zero-Mix-7B.LongWriter-Zero-RLData
LongWriter-Zero RL Data
🤗 [Model] • 📃 [Paper] • 💾 [Dataset Card]
LongWriter-Zero RL Data is designed for ultra-long text generation via reinforcement learning. The dataset consists of conversational queries paired with length-range tags, which specify the desired output span (measured in words or Chinese characters).
These annotations are used to train the LongWriter-Zero model, enabling it to consistently generate passages exceeding 10,000 words.
PS: We also included some… See the full description on the dataset page: https://huggingface.co/datasets/THU-KEG/LongWriter-Zero-RLData.easyr1-103k-4MP-jedi-ui-vision-gta1-data-sampling-stage-three-temp-1_7-RL-zero-correct-to-0.2Dolci-RL-Zero-General-7B
Dolci-RL-Zero-General-7B
Dataset Summary
Dolci-RL-Zero-General-7B is the reinforcement learning dataset used to train the Olmo3-RL-Zero-7B-General model.It contains 12,841 general chat prompts sampled from the larger Dolci-Think-RL mixture. The reward was dervied by using an LM judge.
Downloading
You can download and load this data using HuggingFace's datasets library with the following code:
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Dolci-RL-Zero-General-7B.easyr1-103k-4MP-jedi-ui-vision-gta1-data-sampling-stage-two-temp-1_1-RL-zero-correct-to-0.3easyr1-103k-4MP-jedi-ui-vision-gta1-data-sampling-stage-two-temp-1_1-RL-zero-correct-to-0.2Dolci-RL-Zero-Code-7Beasyr1-103k-4MP-stage-three-temp-1_7-RL-only-ui-vision-jedi-show-ui-desktop-gta-0p0-zeroresponse-data-MiMo-7B-RL-ZeroDolci-RL-Zero-Code-7B-refinedDolci-RL-Zero-Math-7B-solvedeasyr1-103k-4MP-stage-three-temp-1_7-RL-only-ui-vision-jedi-show-ui-desktop-0p2-zeroQwen2.5-1.5B-deepmath-level1-3-rl-zero-4rollout-4096max-len-rolloutseasyr1-103k-4MP-stage-three-temp-1-7-RL-zero-to-0.2-noise-DONT-TRAIN-ONlean_workbook_RL_no_zero_examples_1000easyr1-103k-4MP-stage-three-temp-1-7-RL-zero-to-0.2-no-pixmo-uground-seeclickDolci-RL-Zero-IF-7Blean_workbook_RL_no_zero_examples_2000Dolci-RL-Zero-Math-7B-classifiedlean_workbook_RL_no_zero_exampleseasyr1-103k-4MP-stage-three-temp-1_7-RL-only-ui-vision-jedi-show-ui-desktop-gta-0p2-zeroeasyr1-103k-4MP-stage-three-temp-1_7-RL-ui-vision-jedi-show-ui-desktop-gta-0p2-zero-dense-reward