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sweelol
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luxury-watch-editorial-dataset-v1

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model_id
string
training_examples
int64
final_loss
float64
model_path
string
label_masking
bool
quantization
string
timestamp
string
google/gemma-3-1b-it
308
1.205386
/kaggle/working/fine_tuned_model_gemma_1b_lora_fp16/watch_editorial_gemma_1b_fp16
true
Standard FP16 (No Quantization)
2026-03-27T22:42:40.443392

license: apache-2.0 tags: - watch-editorial - luxury-watches - fine-tuning - instruction-tuning - horological language: en size_categories: - 100<n<1K

SWELOL Luxury Watch Editorial Dataset v1

Dataset Description

High-quality human-annotated luxury watch editorial descriptions for fine-tuning language models. Created by sweelol for production-grade watch content generation.

Version: 1.0
License: Apache 2.0
Total Examples: 308 (44 original + 264 variations)
Brands Covered: 18 luxury watch brands

Data Structure 

{
  "instruction": "Write a horological editorial in the style of A Collected Man based on these specifications.",
  "input": "Brand: Rolex, Model: Submariner, Reference: 126610LN...",
  "output": "**Rolex Submariner Ref. 126610LN** ✨\n\nTo look at an Oyster Perpetual...",
  "metadata": {
    "brand": "Rolex",
    "model": "Submariner",
    "editorial_style": "A Collected Man Editorial",
    "source_quality": "human-verified"
  }
}
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Models trained or fine-tuned on sweelol/luxury-watch-editorial-dataset-v1