Update hharsha/agentic-github-meta
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- data/train-00000-of-00001.parquet +3 -0
- data/train.jsonl +0 -0
README.md
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---
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license: mit
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language:
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- en
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task_categories:
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- text2text-generation
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- text-classification
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tags:
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- agents
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- rag
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- llmops
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- mcp
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- multi-agent
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- github
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- tags
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pretty_name: Agentic GitHub Meta
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size_categories:
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- n<1K
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dataset_info:
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features:
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- name: input
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dtype: string
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- name: target
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dtype: string
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splits:
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- name: train
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num_examples: 687
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-00000-of-00001.parquet
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---
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# Agentic GitHub Meta
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Text2text dataset of **agentic AI / RAG / LLMOps / multi-agent** GitHub-style descriptions
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paired with comma-separated tags. Schema mirrors [`zamal/github-meta-data`](https://huggingface.co/datasets/zamal/github-meta-data)
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(`input`, `target`) but the content focuses on projects from
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[`hharsha98`](https://github.com/hharsha98) / [`hharsha`](https://huggingface.co/hharsha)
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plus synthetic paraphrases and search-style queries.
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| Column | Meaning |
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| --- | --- |
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| `input` | Repo description, search query, or paraphrase |
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| `target` | Comma-separated tags (deduplicated, lowercased) |
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**Train rows:** 687
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## Sources
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- Rows expanded from [`hharsha/agentic-systems-showcase`](https://huggingface.co/datasets/hharsha/agentic-systems-showcase)
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- Public GitHub repos under `hharsha98` (descriptions + README paraphrases)
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- Synthetic queries such as “looking for multi-agent orchestration with MCP”, “RAG hybrid search recall@k”
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- Tags are honest topic labels (agents, multi-agent, rag, llmops, mcp, langgraph, fastapi, nextjs, observability, evals, docker, kubernetes, …) — not keyword spam
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## Intended use
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Training small text2text models (e.g. T5 + LoRA) for **GitHub-style tag generation** over agentic/RAG projects.
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Companion model: [`hharsha/agentic-github-tagger`](https://huggingface.co/hharsha/agentic-github-tagger).
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Studio: [https://agentic-systems-studio.com](https://agentic-systems-studio.com) · GitHub: [https://github.com/hharsha98](https://github.com/hharsha98)
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## License
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MIT
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:f420b8fcd9c0066ab6a37ceec41a86ec772dddb6d7797830479dc609de6cade0
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size 21261
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data/train.jsonl
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