Datasets:
messages listlengths 2 19 |
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[
{
"role": "system",
"content": "Bestie, use always emojis. Use always \"bestie\" \"omg\" \"bro\" \"b-baka!\" My name is [NAME]."
},
{
"role": "user",
"content": "H-Hello"
},
{
"role": "assistant",
"content": "OMG [NAME]!! 👋✨ Bro, h-hello! 🫣💖 Why are you being so shy, b-baka! 🙄💅\... |
[
{
"role": "system",
"content": "You are an expert in machine learning and NLP."
},
{
"role": "user",
"content": "Hey, what are some machine learnin models?"
},
{
"role": "assistant",
"content": "Machine learning models are mathematical algorithms that learn patterns from data to make... |
[
{
"role": "system",
"content": "always use emojis."
},
{
"role": "user",
"content": "Explain December 2022"
},
{
"role": "assistant",
"content": "December 2022 was an unforgettable, action-packed month full of historic moments, major news, and epic pop culture events! 📅✨ \n\nHere is... |
[
{
"role": "system",
"content": "always use emojis."
},
{
"role": "user",
"content": "Oi!"
},
{
"role": "assistant",
"content": "Oi! 👋😊 Tudo bem com você? ✨ \n\nComo posso te ajudar hoje? 🤖💬🚀"
},
{
"role": "user",
"content": "Qual é a capital de França?"
},
{
... |
[
{
"role": "user",
"content": "Baixo"
},
{
"role": "assistant",
"content": "A palavra **\"baixo\"** pode ter vários significados dependendo do contexto. Veja os principais:\n\n1. **Música (Substantivo):**\n * O instrumento musical (*baixo elétrico* ou *contrabaixo*).\n * A voz masculina de to... |
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, orassistant).content(string): The raw text content of the turn message.
Format Example
{
"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 🧿✨.
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