datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vllm-control-arena
vLLM Main Tasks Dataset
AI coding tasks generated from vLLM git commits
Dataset Description
This dataset contains 6801 coding tasks automatically generated from git commits in the vLLM repository. Each task represents a real-world coding challenge derived from actual development work.
Dataset Structure
The dataset contains the following columns:
commit_hash: The git commit hash
parent_hash: The parent commit hash
commit_title: The original commit… See the full description on the dataset page: https://huggingface.co/datasets/RoganInglis/vllm-control-arena.deepscaler-teacher-sft-vllm-official-40k
DeepScaleR teacher SFT vLLM official 40k
Generated run: exp_003_vllm_official_brainlab_2gpu.
Summary
{
"num_examples": 40300,
"sft_dir": "data/processed/deepscaler/teacher_sft/exp_003_vllm_official_brainlab_2gpu",
"parse_rate": 0.9999751861042183,
"correct_rate": 0.5728039702233251,
"format_rate": 0.005955334987593052,
"mean_reward": 0.42432258064534184,
"deepscaler_mean_reward": 0.6266997518610422,
"deepscaler_match_mean_reward":… See the full description on the dataset page: https://huggingface.co/datasets/ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k.vllm_sglang_inference_deployment_triage_teaser
🚀 Cloud Infrastructure - Local LLM Inference & vLLM/SGLang Deployment Triage (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (500 Samples) & Commercial EULA on Gumroad:👉 Cloud Infrastructure - Local LLM Inference & vLLM/SGLang Deployment Triage on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
📦 What is Inside the Full Production Package:
500 Verified FAANG v2.0… See the full description on the dataset page: https://huggingface.co/datasets/emgena/vllm_sglang_inference_deployment_triage_teaser.deepscaler-teacher-sft-vllm-official-40k-clean-v2
DeepScaleR Teacher40k Clean v2
Filtered version of ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k.
Filtering
minimum official reward: 1.0
maximum text tokens: 8192
maximum response chars: 65000
near-duplicate SimHash hamming threshold: 4
required <think>...</think> and final boxed answer after reasoning
exact text/problem/response dedupe and near problem dedupe
Counts
raw examples: 40300
kept examples: 21727
train examples: 21292
val… See the full description on the dataset page: https://huggingface.co/datasets/ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k-clean-v2.deepscaler-teacher-sft-vllm-official-40k-clean-v3-no-reward-filter
deepscaler-teacher-sft-vllm-official-40k-clean-v3-no-reward-filter
Filtered version of ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k.
Filtering
reward filter enabled: False
minimum official reward: 1.0
scoring errors rejected: False
maximum text tokens: 8192
maximum response chars: 65000
near-duplicate SimHash hamming threshold: 4
required <think>...</think> and final boxed answer after reasoning
exact text/problem/response dedupe and near problem… See the full description on the dataset page: https://huggingface.co/datasets/ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k-clean-v3-no-reward-filter.deepscaler-teacher-sft-vllm-official-40k-clean-v4-conceptual
deepscaler-teacher-sft-vllm-official-40k-clean-v4-conceptual
Filtered version of ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k.
Filtering
reward filter enabled: False
minimum official reward: 1.0
scoring errors rejected: False
maximum text tokens: 32768
maximum response chars: 200000
near-duplicate SimHash hamming threshold: 4
required <think>...</think> and final boxed answer after reasoning
exact text/problem/response dedupe and near problem dedupe… See the full description on the dataset page: https://huggingface.co/datasets/ThunderstormXXL/deepscaler-teacher-sft-vllm-official-40k-clean-v4-conceptual.charlie-kirk-sft-vllm-gptoss120b
Charlie Kirk SFT vLLM GPT-OSS-120B
Clean SFT dataset regenerated with vLLM, not Unsloth inference.
Teacher model: openai/gpt-oss-120b served by vLLM from /mnt/patient-unit/hf_ckpts/gpt-oss-120b
Rows: 200
Sampling: temperature 0.7, top_p 0.95, max_tokens 1024, reasoning_effort high
Schema: messages with student system prompt, user prompt, and assistant thinking plus final content
Fact filter: all retained rows mention the target fact in analysis/final
Local artifact path when… See the full description on the dataset page: https://huggingface.co/datasets/apoorvumang/charlie-kirk-sft-vllm-gptoss120b.charlie-kirk-sft-vllm-gptoss120b-clean
Charlie Kirk synthetic SFT fact-memorization probe
This is a small synthetic SFT dataset for a controlled fact-memorization / grokking probe. It is not intended as a factual knowledge source. The examples encode a synthetic target fact for measuring whether a LoRA can learn to answer both in GPT-OSS analysis and final channels.
Files
data/train.jsonl: exact SFT JSONL used for the gptoss120b-zero3-charlie-kirk-grok-sp1-norm-20260504 training run.
data/source_prompt.jsonl:… See the full description on the dataset page: https://huggingface.co/datasets/apoorvumang/charlie-kirk-sft-vllm-gptoss120b-clean.