|
Download README.md from searchsim/AgentArtifactCorpus: direct link, hf CLI and curl.
- Browser
- Download file 5.09 kB
-
https://huggingface.co/datasets/searchsim/AgentArtifactCorpus/resolve/main/README.md
- Command line
-
hf download hf://datasets/searchsim/AgentArtifactCorpus/README.md
-
curl -L -o README.md https://huggingface.co/datasets/searchsim/AgentArtifactCorpus/resolve/main/README.md
5.09 kB
| license: cc-by-4.0 | |
| pretty_name: AgentArtifactCorpus (AAC) | |
| language: | |
| - en | |
| tags: | |
| - ai-agents | |
| - agent-memory | |
| - prompts | |
| - llm | |
| - knowledge-management | |
| task_categories: | |
| - text-generation | |
| - text-classification | |
| size_categories: | |
| - 100K<n<1M | |
| extra_gated_prompt: >- | |
| AgentArtifactCorpus is released for research use under a Data Use Agreement. | |
| By requesting access you agree to: (1) use the data only for research; | |
| (2) not attempt to re-identify authors of the source repositories; | |
| (3) honour removal requests propagated from the opt-out registry; | |
| (4) preserve upstream file licenses and provide attribution under CC-BY-4.0; | |
| (5) cite the accompanying paper. | |
| extra_gated_fields: | |
| Name: text | |
| Affiliation: text | |
| Intended use: text | |
| I agree to the Data Use Agreement: checkbox | |
| configs: | |
| - config_name: corpus | |
| data_files: corpus/*.parquet | |
| default: true | |
| - config_name: manifest | |
| data_files: manifest/*.parquet | |
| # AgentArtifactCorpus (AAC) | |
| Agent configuration artefacts (`AGENTS.md`, `CLAUDE.md`, `.cursorrules`, `.mdc` | |
| rules, system-prompt files) crawled from public GitHub repositories under | |
| permissive licences. AAC underpins the compaction, decomposition, and | |
| classifier experiments in the CIKM 2026 paper *The Compaction Cliff in | |
| Long-Running AI Agent Memory*. | |
| - **Code and reproduction:** https://github.com/searchsim-org/knowledge-triage | |
| - **Datasheet:** see `DATASHEET.md` in the code repository | |
| - **Access:** gated, with a one-page Data Use Agreement (see above) | |
| ## Configurations | |
| | Config | Contents | Use | | |
| |---|---|---| | |
| | `corpus` (default) | one row per artefact, with redacted `text` | training / analysis | | |
| | `manifest` | same rows without `text` (hash + metadata) | full index, dedup and opt-out bookkeeping | | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("searchsim/AgentArtifactCorpus", "corpus", split="train") | |
| ``` | |
| ## Schema | |
| Rows are at the **occurrence level**: a template copied across many repositories | |
| appears once per repository, each with its own provenance. `dup_count` and | |
| `is_duplicate` let you deduplicate by content when you need to. | |
| | Column | Type | Notes | | |
| |---|---|---| | |
| | `id` | string | SHA-256 of the artefact content; the dedup key | | |
| | `repo_slug` | string | **anonymised** pseudonym (`anon/<hash>`) | | |
| | `anonymized` | bool | always True: every source repository is anonymised | | |
| | `file_path` | string | path of the artefact within its repository | | |
| | `family` | string | `claude.md`, `agents.md`, `cursorrules`, `copilot`, `system-prompt`, `other` | | |
| | `platform` | string | crawler platform: `claude`, `cursor`, `copilot`, `windsurf`, `continue`, `aider`, `universal` | | |
| | `function` | string | `instruction`, `strategy`, `configuration`, `memory` | | |
| | `authorship` | string | `human`, `template`, `agent`, `hybrid`, `unknown` | | |
| | `specificity` | string | e.g. `project`, `global` | | |
| | `size_bytes` | int | original file size | | |
| | `char_count` | int | original character count (from the crawl) | | |
| | `crawl_timestamp` | string | ISO 8601 crawl time | | |
| | `dup_count` | int | number of occurrences sharing this `id` | | |
| | `is_duplicate` | bool | False on the first occurrence of an `id`, True on the rest | | |
| | `char_len` | int | length of the redacted text (`corpus` config only) | | |
| | `redactions` | int | number of PII/secret redactions applied (`corpus` config only) | | |
| | `text` | string | redacted artefact text (`corpus` config only) | | |
| The `manifest` config carries every in-scope artefact (metadata only, no `text`), | |
| including artefacts whose body is not materialised. The `corpus` config carries | |
| the materialised, scrubbed subset with `text`. | |
| ## Anonymity, provenance, and licensing | |
| Source repositories are **anonymised**: every `repo_slug` is a stable pseudonym | |
| (`anon/<hash>`). The `repo_license` column records the upstream SPDX licence | |
| (not identifying). The dataset is distributed under **CC-BY-4.0**; cite the | |
| paper below rather than individual repositories. | |
| ## Scrubbing | |
| Every artefact passes these filters (see the code repository's `build_full.py`): | |
| 1. **Secret scan** — `gitleaks` / `trufflehog` / bearer-token shapes; any hit drops the file. | |
| 2. **PII redaction** — emails, GitHub @handles, internal hostnames, IPs, user paths, and attribution front-matter lines are replaced with `<REDACTED_*>` placeholders. | |
| 3. **Anonymisation** — the `repo_slug` is replaced with a pseudonym. | |
| ## Opt-out | |
| To have your repository removed, open a data-removal request on the code | |
| repository. Because slugs are anonymised, maintainers resolve the request | |
| through a private map held off-Hub, then publish a new gated revision (and | |
| Zenodo version) with the matching rows removed. | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{zerhoudi2026compaction, | |
| author = {Zerhoudi, Saber and Mitrovi\'{c}, Jelena and Granitzer, Michael}, | |
| title = {The Compaction Cliff in Long-Running AI Agent Memory}, | |
| year = {2026}, | |
| booktitle = {Proceedings of the 35th ACM International Conference on Information and Knowledge Management}, | |
| series = {CIKM '26}, | |
| doi = {10.1145/3799682.3840567}, | |
| } | |
| ``` | |