agentic-github-meta / README.md
hharsha's picture
Fix task_categories metadata
4196572 verified
|
Raw History Blame Contribute Delete
2.05 kB
---
license: mit
language:
- en
task_categories:
- text-classification
- text-generation
tags:
- agents
- rag
- llmops
- mcp
- multi-agent
- github
- tags
pretty_name: Agentic GitHub Meta
size_categories:
- n<1K
dataset_info:
features:
- name: input
dtype: string
- name: target
dtype: string
splits:
- name: train
num_examples: 687
configs:
- config_name: default
data_files:
- split: train
path: data/train-00000-of-00001.parquet
---
# Agentic GitHub Meta
Text2text dataset of **agentic AI / RAG / LLMOps / multi-agent** GitHub-style descriptions
paired with comma-separated tags. Schema mirrors [`zamal/github-meta-data`](https://huggingface.co/datasets/zamal/github-meta-data)
(`input`, `target`) but the content focuses on projects from
[`hharsha98`](https://github.com/hharsha98) / [`hharsha`](https://huggingface.co/hharsha)
plus synthetic paraphrases and search-style queries.
| Column | Meaning |
| --- | --- |
| `input` | Repo description, search query, or paraphrase |
| `target` | Comma-separated tags (deduplicated, lowercased) |
**Train rows:** 687
## Sources
- Rows expanded from [`hharsha/agentic-systems-showcase`](https://huggingface.co/datasets/hharsha/agentic-systems-showcase)
- Public GitHub repos under `hharsha98` (descriptions + README paraphrases)
- Synthetic queries such as “looking for multi-agent orchestration with MCP”, “RAG hybrid search recall@k”
- Tags are honest topic labels (agents, multi-agent, rag, llmops, mcp, langgraph, fastapi, nextjs, observability, evals, docker, kubernetes, …) — not keyword spam
## Intended use
Training small text2text models (e.g. T5 + LoRA) for **GitHub-style tag generation** over agentic/RAG projects.
Companion model: [`hharsha/agentic-github-tagger`](https://huggingface.co/hharsha/agentic-github-tagger).
Studio: [https://agentic-systems-studio.com](https://agentic-systems-studio.com) · GitHub: [https://github.com/hharsha98](https://github.com/hharsha98)
## License
MIT