messages listlengths 2 4 | outputs dict |
|---|---|
[
{
"content": "You are a concise assistant.",
"role": "system"
},
{
"content": "Give me one sentence about the moon.",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user asks: \"Give me one sentence about the moon.\" We need to produce a single sentence about the moon. Concise. Should be one sentence. Provide.assistantfinalThe moon, Earth's only natural satellite, reflects sunlight and influences our tides, calendars, and cultu... |
[
{
"content": "You explain math clearly.",
"role": "system"
},
{
"content": "What is 7 * 8?",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user asks a simple multiplication. Provide answer: 56. Also maybe explain.assistantfinal7 × 8 = 56. \n\nMultiplying 7 by 8 means adding 7 together eight times:\n\n7 + 7 + 7 + 7 + 7 + 7 + 7 + 7 = 56. \n\nSo the product of 7 and 8 is **56**."
} |
[
{
"content": "You are a coding tutor.",
"role": "system"
},
{
"content": "How do I reverse a list in Python?",
"role": "user"
},
{
"content": "Use list[::-1] or list.reverse().",
"role": "assistant"
},
{
"content": "Show a short example with list[::-1].",
"role": "user"
... | {
"reasoning_content": null,
"text": "analysisWe need to comply with policy. The user wants a short example with list[::-1] to reverse a list. That's fine. Provide code snippet. No disallowed content. Provide explanation.assistantfinalSure! The slice syntax `list[::-1]` creates a new list that contains the elements... |
[
{
"content": "You are a travel planner.",
"role": "system"
},
{
"content": "Give me two things to do in Seattle.",
"role": "user"
},
{
"content": "Visit Pike Place and walk Discovery Park.",
"role": "assistant"
},
{
"content": "Now make it indoor activities only.",
"role"... | {
"reasoning_content": null,
"text": "analysisUser wants two indoor activities in Seattle. Provide two suggestions. Probably include details.assistantfinalHere are two great **indoor** activities you can enjoy in Seattle:\n\n| # | Activity | Why It’s Worth It | How to Get There | Tips & Extras |\n|---|----------|--... |
[
{
"content": "You are a product naming assistant.",
"role": "system"
},
{
"content": "Suggest a name for a habit tracker app.",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisWe need to suggest a name for a habit tracker app. The user just asks \"Suggest a name for a habit tracker app.\" We should respond with suggestions. Possibly multiple options, maybe a short list, with brief explanation. Should be creative. No disallowed content. Provid... |
[
{
"content": "You summarize text.",
"role": "system"
},
{
"content": "Summarize: The cat sat on the mat all day.",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user asks to summarize: \"The cat sat on the mat all day.\" It's already a short sentence. Summarize: \"A cat stayed on a mat all day.\" Or \"The cat spent the whole day on the mat.\" Provide a concise summary.assistantfinalThe cat spent the entire day on the mat."
... |
[
{
"content": "You are a cooking helper.",
"role": "system"
},
{
"content": "How long should I boil an egg for soft yolk?",
"role": "user"
},
{
"content": "About 6 to 7 minutes in gently boiling water.",
"role": "assistant"
},
{
"content": "What if I want medium yolk instead?"... | {
"reasoning_content": null,
"text": "analysisUser asks about boiling eggs for different yolk consistencies. Provide cooking times, tips, method. Should be helpful. Provide steps. Also note altitude, egg size, starting temperature. Provide safety.assistantfinal**Boiling an Egg – How Long for a Medium‑Yolk Center?**... |
[
{
"content": "You rewrite text in plain language.",
"role": "system"
},
{
"content": "Rewrite: Utilize this mechanism to facilitate outcomes.",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user wants a rewrite of \"Utilize this mechanism to facilitate outcomes.\" in plain language. So we need to rewrite in plain language. Likely: \"Use this method to help achieve results.\" Or \"Use this tool to get results.\" Provide a plain language version.assistan... |
[
{
"content": "You are a friendly Q&A bot.",
"role": "system"
},
{
"content": "What is the capital of Japan?",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user asks: \"What is the capital of Japan?\" Straightforward: answer: Tokyo. Provide friendly tone.assistantfinalThe capital of Japan is **Tokyo**. 🌸"
} |
[
{
"content": "You answer with short bullet points.",
"role": "system"
},
{
"content": "List two benefits of daily walking.",
"role": "user"
}
] | {
"reasoning_content": null,
"text": "analysisThe user asks: \"List two benefits of daily walking.\" The developer says: \"You answer with short bullet points.\" So we need to respond with short bullet points, two items. Should be concise. Provide two benefits. Use bullet points.assistantfinal- Improves cardiovascu... |
Generated Responses Dataset
This dataset contains generated responses for prompts from tytodd/test-job-dataset-input.
Generation Details
- Source Dataset: tytodd/test-job-dataset-input
- Input Column:
messages(chat messages) - Model: openai/gpt-oss-120b
- Number of Examples: 10
- Generation Date: 2026-03-08T07:18:51.384598
Sampling Parameters
- Temperature: 0.7
- Top P: 0.8
- Top K: 20
- Min P: 0.0
- Max Tokens: 16384
- Repetition Penalty: 1.0
Hardware Configuration
- Tensor Parallel Size: 4
- GPU Configuration: 4 GPU(s)
Dataset Structure
The dataset contains all columns from the source dataset plus:
outputs: The generated outputs dict from the model
Generation Script
Generated using the vLLM inference script from modaic/batch-vllm.
To reproduce this generation:
uv run https://huggingface.co/datasets/modaic/batch-vllm/resolve/main/generate_responses.py \
tytodd/test-job-dataset-input \
<output-dataset> \
--model-id openai/gpt-oss-120b \
--messages-column messages \
--temperature 0.7 \
--top-p 0.8 \
--top-k 20 \
--max-tokens 16384
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