Duplicate from nex-agi/agent-sft

Co-authored-by: Honglin Guo <KYLN24@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- zh
+- en
+license: odc-by
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-generation
+tags:
+- agentic-models
+- tool-use
+- code-generation
+- instruction-tuning
+configs:
+- config_name: default
+  data_files:
+  - split: agentic_code
+    path: agentic_coding.jsonl
+  - split: agent
+    path: agent.jsonl
+  - split: chat
+    path: chat.jsonl
+  - split: deep_research
+    path: deep_research.jsonl
+  - split: html
+    path: html.jsonl
+  - split: tool_calling
+    path: tool_calling.jsonl
+---
+
+<div align="center">
+
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+</svg>
+
+</div>
+
+
+# Nex Agent-SFT Dataset
+
+[Paper](https://huggingface.co/papers/2512.04987) | [Code](https://github.com/nex-agi/Nex-N1) | [Project Page](https://nex.sii.edu.cn)
+
+## Dataset Description
+
+This dataset is specifically designed for training the agentic capabilities of Large Language Models (LLMs). The dataset covers multiple agent scenarios and aims to enhance model performance in autonomous decision-making, tool usage, code generation, and interactive task handling. We reselected some of the training queries from the NEX-N1 training dataset and regenerated the responses based on DeepSeek-V3.1-Nex-N1. This data can provide a reference for the community to train and develop new agent models.
+
+## Dataset Distribtion
+
+| Category      | Value          |
+|---------------|---------------:|
+| agentic_code  |     24796      |
+| agent         |     11749      |
+| chat          |     2079       |
+| html          |     8332       |
+| tool_call     |     9737       |
+| **Total**     |   **69008**     |
+
+
+## Dataset Structure
+
+Each example in the dataset contains the standard instruction-tuning data points as follow:
+
+- `uuid` (str): a unique identifier
+- `messages` (list): message format used for supervised fine-tuning (this contains systerm prompt, user prompt, assistant responses and tool response)
+- `tools` (list): the list of tool definitions, where each definition includes a tool name, a description, and parameters defined by properties.
+- `generator` (str): the model name for generating responses.

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