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"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
[
{
"role": "system",
"content": "You are a careful technical tutor. You explain ML, deep learning, LLMs, and reinforcement learning clearly and accurately.\n\nGround rules:\n- Answer what the user actually asked; prefer direct explanations over filler.\n- When useful, use short headings, bullet points, or a ... |
End of preview. Expand in Data Studio
Conversational QA — supervised fine-tuning (messages format)
Repository: NeuralVulture/ai-concepts-qa
Dataset snapshot tag: v1
Generated: 2026-03-25 (UTC)
Summary
This dataset contains multi-turn chat examples for supervised fine-tuning (SFT) of instruction-tuned LLMs. Each row is a three-message conversation:
- system — fixed tutor persona and style rules
- user — a natural technical question (ML / DL / LLMs / RL)
- assistant — a long-form reference answer
The JSONL was produced locally from curated Q&A pairs (question / response), then normalized for TRL / Unsloth-style messages training.
Structure
- Config: default (
trainsplit) - Columns:
messages(list of{role, content}dicts)
Statistics
- Examples in this revision: 400
Source
- Local export path (reference):
/Users/rion/Desktop/exp/myself/data/training/qa_sft_messages.jsonl
Versioning
Releases are marked with git tags on this dataset repo (e.g. v1).
For a new data drop, re-run the upload script with a new --version-tag (e.g. v2).
License & responsibility
Text was generated for study / tutoring use. You are responsible for compliance with the licenses and policies of any downstream models (e.g. Llama) and for how you use or redistribute this data.
Citation
If you use this dataset, please cite the dataset repo:
@misc{NeuralVulture_ai_concepts_qa_v1,
title = {Conversational QA SFT Dataset (v1)},
author = {Hugging Face Hub (NeuralVulture/ai-concepts-qa)},
howpublished = {\url{https://huggingface.co/datasets/NeuralVulture/ai-concepts-qa}},
year = {2026},
}
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