Datasetpublic

dipta007/qwen-9b-3m

qwen-9b-3m Multi-domain SFT-target dataset: ~3,000,000 prompts, each with ONE completion generated offline by Qwen/Qwen3.5-9B (thinking mode). Exported snapshot from an offline queue pipeline; repartitioned into 512 parquet shards. Columns (21) record_index, input_sha256, prompt_sha256, dataset, split, source, upstream_id, bucket, messages_json, prompt, prompt_token_count, generation_seed, enable_thinking, worker, executor_worker, completion, completion_input_ids… See the full description on the dataset page: https://huggingface.co/datasets/dipta007/qwen-9b-3m.

sourceHugging Faceotherupdated 1mo agoView on Hugging Face

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Dataset Card

qwen-9b-3m

Multi-domain SFT-target dataset: ~3,000,000 prompts, each with ONE completion generated offline by Qwen/Qwen3.5-9B (thinking mode). Exported snapshot from an offline queue pipeline; repartitioned into 512 parquet shards.

Columns (21)

recordindex, inputsha256, promptsha256, dataset, split, source, upstreamid, bucket, messagesjson, prompt, prompttokencount, generationseed, enablethinking, worker, executorworker, completion, completioninputids, completiontokencount, finishreason, stopreason, sampling_json

Load

python

from datasets import load_dataset
ds = load_dataset("dipta007/qwen-9b-3m", split="train")