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Download docs/UPLOAD_INSTRUCTIONS.md from agentencode/ai-agents-directory: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
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https://huggingface.co/datasets/agentencode/ai-agents-directory/resolve/main/docs/UPLOAD_INSTRUCTIONS.md
- Command line
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hf download hf://datasets/agentencode/ai-agents-directory/docs/UPLOAD_INSTRUCTIONS.md
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curl -L -o UPLOAD_INSTRUCTIONS.md https://huggingface.co/datasets/agentencode/ai-agents-directory/resolve/main/docs/UPLOAD_INSTRUCTIONS.md
1.33 kB
AgentenCode dataset — Upload to Hugging Face
- Sign in and open New Dataset.
- Select Owner: agentencode, Name: ai-agents-directory. Choose Public once you have decided the publication rights/license.
- Extract this ZIP. In the new dataset repository choose Files and versions → Add file → Upload files.
- Upload README.md, data/agents.jsonl, and docs/DATA_DICTIONARY.md. The extra extras/agents.csv is optional; upload it only if you want the CSV download alternative too. Preserve folder paths.
- Commit the files to main. Open the Dataset Viewer. It should display the default train split with 140 examples, not duplicate CSV records. Confirm that
primary_source_urlsis a list. - The dataset card intentionally declares no open license: if you want reuse by the community, choose one only after you confirm that AgentenCode controls the exported editorial material. You can edit the Dataset Card metadata separately.
- Link the published dataset from the AgentenCode organization card and AI Agent Navigator.
Dataset URL after creation: https://huggingface.co/datasets/agentencode/ai-agents-directory
Do not upload the ZIP itself as the dataset data file: extract and upload the individual files, so the Hub can index JSONL.