Datasets:

kridaydave
/

eli-dataset-v3

license: apache-2.0
pretty_name: Epoch Eli Dataset v3 — S-Tier Coding & Agentic Fine-Tuning Corpus
language:
  - en
task_categories:
  - text-generation
tags:
  - code
  - agentic-coding
  - sharegpt
  - alpaca
  - vision-language
  - qwen
  - epoch

Epoch Model Suite 1 — Eli Dataset v3

Dataset curated for fine-tuning Eli (~3-7B dense coding model, based on Qwen 3-4B).

Dataset Composition

Total S-Tier Samples: 23,138 pairs
Backend Code (40.5%): 9,360 clean pairs across Linux, Kubernetes, Tokio, FastAPI, Hyper, Gin.
Frontend Code & Design Systems (22.9%): 5,290 pairs across shadcn/ui, Radix, Mantine, Tailwind, Stripe, Vercel, Apple HIG specs.
Eli Personality (30.2%): 6,988 pairs (1,747 unique Q&As oversampled 4x) capturing Eli's casual, direct, fluff-free persona.
Fable-5 Pi Agent Traces (4.3%): 1,000 real agentic execution traces (CoT reasoning, Bash/Read/Edit actions).
Agentic Open-Ended Apps (2.2%): 500 unique single-file apps and microservices.
Eli-VL Multimodal: 192 UI WebP screenshot-to-code pairs (training-data-eli-vl.jsonl).

Files Included

training-data.jsonl: Alpaca format (instruction, output).
training-data-sharegpt.jsonl: ShareGPT / ChatML format (conversations).
training-data-eli-vl.jsonl: Multimodal screenshot-to-code pairs.
dataset-stats.json: Automated statistical breakdown.