Datasetpublic

TY233/ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen

ShareGPT Qwen3-4B T0.7 Non-Thinking Regen ShareGPT conversations regenerated with Qwen/Qwen3-4B in non-thinking mode. Generation settings temperature: 0.7 top-p: 0.8 top-k: 20 min-p: 0 max tokens: 4096 reasoning: disabled system message: You are a helpful assistant. The source contained 36,943 rows. Regeneration produced 36,936 successful rows, skipped 7 rows, and recorded no generation errors. The dataset contains the successful rows only. Each JSONL record has… See the full description on the dataset page: https://huggingface.co/datasets/TY233/ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen.

sourceHugging Faceupdated 24d agoView on Hugging Face

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Dataset Card

ShareGPT Qwen3-4B T0.7 Non-Thinking Regen

ShareGPT conversations regenerated with Qwen/Qwen3-4B in non-thinking mode.

Generation settings

—temperature: 0.7
—top-p: 0.8
—top-k: 20
—min-p: 0
—max tokens: 4096
—reasoning: disabled
—system message: You are a helpful assistant.

The source contained 36,943 rows. Regeneration produced 36,936 successful rows, skipped 7 rows, and recorded no generation errors. The dataset contains the successful rows only.

Each JSONL record has id, status, and conversations fields. Generation provenance and checksums are included under metadata/.

python

from datasets import load_dataset

dataset = load_dataset(
    "TY233/ShareGPT-Qwen3-4B-T0.7-NonThinking-Regen",
    split="train",
)