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rampisipati/DeepSeek-V4-Distill-8000x

🐳 DeepSeek-V4-Distill-8100x Dataset Summary DeepSeek-V4-Distill-8100x is a supervised fine-tuning dataset for reasoning-oriented distillation. The question prompts come from Jackrong/GLM-5.1-Reasoning-1M-Cleaned, and the answers were generated by the teacher model DeepSeek-V4-Flash. After the cleaning process, the released train split contains 7,716 high-quality JSONL examples. [!NOTE] The answer pool was cleaned to remove real-time questions… See the full description on the dataset page: https://huggingface.co/datasets/rampisipati/DeepSeek-V4-Distill-8000x.

sourceHugging Facemitupdated 5mo agoView on Hugging Face
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🐳 DeepSeek-V4-Distill-8100x

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<div align="center"> <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V4" /> </div>

Image Apr 24, 2026

Dataset Summary

DeepSeek-V4-Distill-8100x is a supervised fine-tuning dataset for reasoning-oriented distillation. The question prompts come from Jackrong/GLM-5.1-Reasoning-1M-Cleaned, and the answers were generated by the teacher model DeepSeek-V4-Flash.

After the cleaning process, the released train split contains 7,716 high-quality JSONL examples.

[!NOTE] The answer pool was cleaned to remove real-time questions, identity-related questions, overlong questions, and other unsuitable prompts. This filtering is intended to make the distillation set more stable and reduce prompts that depend on transient facts or model identity behavior.

<div align="center"> <img src="assets/dsv4_performance.png" > </div>

Dataset Details

ItemValue
RepositoryJackrong/DeepSeek-V4-Distill-8000x
Source questionsJackrong/GLM-5.1-Reasoning-1M-Cleaned
Teacher modelDeepSeek-V4-Flash
FormatJSONL
Splittrain
Examples7,716
LanguagePrimarily English

Data Structure

Each row contains both conversation-style and direct input/output fields:

FieldTypeDescription
idstringStable sample identifier.
conversationslistConversation with human prompt and gpt response.
inputstringUser question or instruction.
outputstringTeacher-generated reasoning response, often including a <think>...</think> block followed by the final answer.
domainstringDataset subset label. All current rows use main.
metaobjectGeneration metadata, including input_tokens, output_tokens, and teacher_model.

Example:

json
{
  "id": "84677a95a9ac13cced90a51b38004e62",
  "conversations": [
    {"from": "human", "value": "..."},
    {"from": "gpt", "value": "<think>...</think>\\n\\n..."}
  ],
  "input": "...",
  "output": "<think>...</think>\\n\\n...",
  "domain": "main",
  "meta": {
    "input_tokens": 65,
    "output_tokens": 95,
    "teacher_model": "DeepSeek-V4-Flash"
  }
}

Intended Uses

  • —Reasoning-oriented supervised fine-tuning.
  • —Distillation experiments using DeepSeek-V4-Flash teacher outputs.
  • —Format conversion experiments for chat-style and input/output SFT pipelines.

Limitations

  • —Responses are teacher-generated and may contain factual errors, reasoning artifacts, or style biases inherited from the teacher model.
  • —The dataset is not intended for safety-critical use without further review.
  • —Downstream users should check the license and usage terms of upstream sources and generated content for their own use case.

Statistics

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