smolm
Datasets
All datasets matching “smolm”smolmo-sft-v2-seqlen64k
smolmo-sft-v2-seqlen64k
A supervised fine-tuning (SFT) dataset of math problems with full chain-of-thought solutions,
formatted for the Olmo 3 "Thinking" models.
2,813,055 examples · ~37.9 B tokens.
Three task families: proofs, numeric-answer problems, and tool-augmented (Python) problems.
Every assistant turn carries an explicit <think> … </think> reasoning trace before the answer.
Olmo 3 native chat + function-calling format; every example fits within a 64k-token context.… See the full description on the dataset page: https://huggingface.co/datasets/chankhavu/smolmo-sft-v2-seqlen64k.smolmo-sft-olmocore-pretokenizedsmol-multilingual-wikitext274-smolmanager-smolmanagerThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 23,
"total_frames": 12693,
"total_tasks": 1,
"total_videos": 23,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:23"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/274-smolmanager-smolmanager.smolmo-proofs-cot-sft
SmolMo Proofs CoT SFT
A supervised fine-tuning dataset for teaching small open language models to write and verify rigorous mathematical proofs with chain-of-thought reasoning. It pairs proof-generation data with verification data, so a model trained on it can both solve olympiad-style problems and grade candidate solutions — supporting solve-then-verify inference workflows.
~302K examples · ~6.1B tokens · ~124K unique problems. Every example is a chat conversation [system, user… See the full description on the dataset page: https://huggingface.co/datasets/chankhavu/smolmo-proofs-cot-sft.smolmo-olmo3-calib-4k
Olmo-3 PTQ Calibration Set (4k, math)
A 4,000-sample calibration set for post-training quantization (FP8 / NVFP4) of
allenai/Olmo-3.1-32B-Think. Each row is a
complete math reasoning conversation rendered with the Olmo-3 chat template (the text field),
so calibration sees exactly the model's native inference format — <|im_start|> turn markers, the
Olmo system prompt, <think>…</think> traces, and tool-use scaffolding.
How it was built
Sampled 4 random examples… See the full description on the dataset page: https://huggingface.co/datasets/chankhavu/smolmo-olmo3-calib-4k.