monostate/word-mean-nice-llm-sft-poc

Fine-tuning Dataset

This dataset was generated for fine-tuning language models with deterministic training-format transforms.

Dataset Details

• Session ID: session_10761044
• Repository: monostate/word-mean-nice-llm-sft-poc
• Number of Examples: 191
• Format: JSONL (JSON Lines)
• Training Type: sft
• Chat Template: chatml
• Render Strategy: both
• Generator Model: kimi-k2.5
• Generated: 2026-03-16T09:59:01.806970

Dataset Structure

Each example contains either structured messages or rendered text depending on the export settings. Preference datasets include prompt, chosen, and rejected fields. Tool-capable examples may include tools metadata.

Sample Examples

[
  {
    "messages": [
      {
        "role": "system",
        "content": "You are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice."
      },
      {
        "role": "user",
        "content": "rude"
      }
    ],
    "prompt": "You are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice.\n\nrude",
    "completion": "",
    "text": "<|im_start|>system\nYou are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice.\n<|im_end|>\n<|im_start|>user\nrude\n<|im_end|>"
  },
  {
    "messages": [
      {
        "role": "system",
        "content": "You are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice."
      },
      {
        "role": "user",
        "content": "kind"
      }
    ],
    "prompt": "You are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice.\n\nkind",
    "completion": "",
    "text": "<|im_start|>system\nYou are a word classifier. Classify the given word as either 'mean' or 'nice'. Respond with only one label: mean or nice.\n<|im_end|>\n<|im_start|>user\nkind\n<|im_end|>"
  }
]

Usage

This dataset is designed for supervised or preference-based fine-tuning.

Loading the Dataset

import json

# Load from JSONL file
with open('data/finetune_dataset.jsonl', 'r') as f:
    examples = [json.loads(line) for line in f]

# Or load from JSON file
with open('data/finetune_dataset.json', 'r') as f:
    examples = json.load(f)

Fine-tuning Example

# Format for training
training_data = examples

Generated by Dataset Director

This dataset was created using the Dataset Director API with AI-powered generation.