| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| - pt |
| tags: |
| - synthetic |
| - gemini |
| - instruction-following |
| pretty_name: Synthetic Gemini Multi-Model Dataset |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Synthetic Gemini Multi-Model Dataset |
|
|
| ## Dataset Description |
|
|
| This dataset is a collection of high-quality synthetic conversational text data synthesized using various models from the Google Gemini ecosystem. It is formatted explicitly for multi-turn instruction tuning and conversational alignment. |
|
|
| ### Dataset Summary |
|
|
| * **Repository:** Synthetic Gemini Dataset |
| * **Languages:** English (`en`) / Portuguese (`pt`) |
| * **License:** Creative Commons Attribution 4.0 International (`cc-by-4.0`) |
| * **Task Type:** Text Generation / Conversational Chat |
|
|
| --- |
|
|
| ## Generation Details & Models Used |
|
|
| The outputs in this dataset were generated across a blend of Gemini model variants to capture diverse reasoning styles, structural formats, and generation characteristics: |
|
|
| * **Gemini 3.5 Flash & 3.6 Flash:** High-speed reasoning, creative text generation, and fast contextual expansions. |
| * **Gemini 3.5 Flash-Lite:** Highly efficient lightweight generation for rapid instruction-response formatting. |
| * **Gemini 3.1 Pro:** Multi-step complex instructions, deep technical explanations, and detailed reasoning outputs. |
| * **Other Gemini Variants:** Supplemental data generated across various specialized sub-variants. |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| ### Data Fields |
|
|
| The dataset strictly contains a single field formatted for standardized conversational training: |
|
|
| * `messages` *(list of objects)*: A list of chat turn objects representing the conversation history. Each object contains: |
| * `role` *(string)*: The turn role (`system`, `user`, or `assistant`). |
| * `content` *(string)*: The raw text content of the turn message. |
|
|
| ### Format Example |
|
|
| ```json |
| { |
| "messages": [ |
| {"role": "system", "content": "You are a helpful AI assistant."}, |
| {"role": "user", "content": "Explain quantum computing in simple terms."}, |
| {"role": "assistant", "content": "Quantum computing is a type of computing that..."} |
| ] |
| } |
| |
| ``` |
|
|
| --- |
|
|
| ## Intended Uses & Limitations |
|
|
| ### Primary Use Cases |
|
|
| * **Supervised Fine-Tuning (SFT):** Direct compatibility with standard SFT pipelines (such as Unsloth, LLaMA-Factory, or Hugging Face TRL) using standard chat template formatters. |
| * **Multi-Turn Chatbot Training:** Aligning base models for multi-turn assistant capabilities. |
|
|
| ### Limitations & Biases |
|
|
| * **Synthetic Artifacts:** Outputs may reflect stylistic preferences and formatting quirks native to the Gemini family. |
| * **Fact Verification:** Users should validate domain-specific factual correctness before deploying downstream models in critical applications. |
|
|
| --- |
|
|
| ## Licensing & Attribution |
|
|
| This dataset is licensed under **CC-BY-4.0**. You can freely adapt, share, or build commercial models on top of it, provided you give appropriate attribution to the dataset creator 🧿✨. |
|
|
| --- |
