Add files using upload-large-folder tool
Browse files- README.md +125 -0
- build_stats.json +22 -0
- corpus/part-00000.parquet +3 -0
- corpus/part-00001.parquet +3 -0
- corpus/part-00002.parquet +3 -0
- corpus/part-00003.parquet +3 -0
- corpus/part-00004.parquet +3 -0
- corpus/part-00005.parquet +3 -0
- manifest/part-00000.parquet +3 -0
- manifest/part-00001.parquet +3 -0
- manifest/part-00002.parquet +3 -0
- manifest/part-00003.parquet +3 -0
- manifest/part-00004.parquet +3 -0
- manifest/part-00005.parquet +3 -0
README.md
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| 1 |
+
---
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+
license: cc-by-4.0
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+
pretty_name: AgentArtifactCorpus (AAC)
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+
language:
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- en
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tags:
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- ai-agents
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- agent-memory
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- prompts
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- llm
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- knowledge-management
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task_categories:
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- text-generation
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- text-classification
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size_categories:
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- 100K<n<1M
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extra_gated_prompt: >-
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+
AgentArtifactCorpus is released for research use under a Data Use Agreement.
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+
By requesting access you agree to: (1) use the data only for research;
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(2) not attempt to re-identify authors of the source repositories;
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(3) honour removal requests propagated from the opt-out registry;
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(4) preserve upstream file licenses and provide attribution under CC-BY-4.0;
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(5) cite the accompanying paper.
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+
extra_gated_fields:
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Name: text
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Affiliation: text
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Intended use: text
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I agree to the Data Use Agreement: checkbox
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configs:
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- config_name: corpus
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data_files: corpus/*.parquet
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default: true
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- config_name: manifest
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data_files: manifest/*.parquet
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---
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# AgentArtifactCorpus (AAC)
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Agent configuration artefacts (`AGENTS.md`, `CLAUDE.md`, `.cursorrules`, `.mdc`
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rules, system-prompt files) crawled from public GitHub repositories under
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permissive licences. AAC underpins the compaction, decomposition, and
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classifier experiments in the CIKM 2026 paper *The Compaction Cliff in
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| 43 |
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Long-Running AI Agent Memory*.
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+
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- **Code and reproduction:** https://github.com/searchsim-org/knowledge-triage
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+
- **Datasheet:** see `DATASHEET.md` in the code repository
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+
- **Access:** gated, with a one-page Data Use Agreement (see above)
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+
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## Configurations
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| Config | Contents | Use |
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|---|---|---|
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| `corpus` (default) | one row per artefact, with redacted `text` | training / analysis |
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| 54 |
+
| `manifest` | same rows without `text` (hash + metadata) | full index, dedup and opt-out bookkeeping |
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| 55 |
+
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| 56 |
+
```python
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| 57 |
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from datasets import load_dataset
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| 58 |
+
ds = load_dataset("searchsim/AgentArtifactCorpus", "corpus", split="train")
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| 59 |
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```
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| 60 |
+
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| 61 |
+
## Schema
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| 62 |
+
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| 63 |
+
Rows are at the **occurrence level**: a template copied across many repositories
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| 64 |
+
appears once per repository, each with its own provenance. `dup_count` and
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| 65 |
+
`is_duplicate` let you deduplicate by content when you need to.
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| 66 |
+
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| 67 |
+
| Column | Type | Notes |
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| 68 |
+
|---|---|---|
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| 69 |
+
| `id` | string | SHA-256 of the artefact content; the dedup key |
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| 70 |
+
| `repo_slug` | string | **anonymised** pseudonym (`anon/<hash>`); the real GitHub repo name is never published |
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| 71 |
+
| `anonymized` | bool | always True: every source repository is anonymised |
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| 72 |
+
| `file_path` | string | path of the artefact within its repository |
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| 73 |
+
| `family` | string | `claude.md`, `agents.md`, `cursorrules`, `copilot`, `system-prompt`, `other` |
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| 74 |
+
| `platform` | string | crawler platform: `claude`, `cursor`, `copilot`, `windsurf`, `continue`, `aider`, `universal` |
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| 75 |
+
| `function` | string | `instruction`, `strategy`, `configuration`, `memory` |
|
| 76 |
+
| `authorship` | string | `human`, `template`, `agent`, `hybrid`, `unknown` |
|
| 77 |
+
| `specificity` | string | e.g. `project`, `global` |
|
| 78 |
+
| `size_bytes` | int | original file size |
|
| 79 |
+
| `char_count` | int | original character count (from the crawl) |
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| 80 |
+
| `crawl_timestamp` | string | ISO 8601 crawl time |
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| 81 |
+
| `dup_count` | int | number of occurrences sharing this `id` |
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| 82 |
+
| `is_duplicate` | bool | False on the first occurrence of an `id`, True on the rest |
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| 83 |
+
| `char_len` | int | length of the redacted text (`corpus` config only) |
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| 84 |
+
| `redactions` | int | number of PII/secret redactions applied (`corpus` config only) |
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| 85 |
+
| `text` | string | redacted artefact text (`corpus` config only) |
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| 86 |
+
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| 87 |
+
The `manifest` config carries every in-scope artefact (metadata only, no `text`),
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| 88 |
+
including artefacts whose body is not materialised. The `corpus` config carries
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| 89 |
+
the materialised, scrubbed subset with `text`.
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| 90 |
+
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| 91 |
+
## Anonymity, provenance, and licensing
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| 92 |
+
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| 93 |
+
Source repositories are **anonymised**: every `repo_slug` is a stable pseudonym
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| 94 |
+
(`anon/<hash>`) and the real GitHub repository name is not published. The
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| 95 |
+
`repo_license` column records the upstream SPDX licence (not identifying). The
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| 96 |
+
dataset is distributed under **CC-BY-4.0**; cite the paper below rather than
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| 97 |
+
individual repositories.
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| 98 |
+
|
| 99 |
+
## Scrubbing
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| 100 |
+
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| 101 |
+
Every artefact passes these filters (see the code repository's `build_full.py`):
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| 102 |
+
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| 103 |
+
1. **Secret scan** — `gitleaks` / `trufflehog` / bearer-token shapes; any hit drops the file.
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| 104 |
+
2. **PII redaction** — emails, GitHub @handles, internal hostnames, IPs, user paths, and attribution front-matter lines are replaced with `<REDACTED_*>` placeholders.
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| 105 |
+
3. **Anonymisation** — the `repo_slug` is replaced with a pseudonym.
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| 106 |
+
|
| 107 |
+
## Opt-out
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| 108 |
+
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| 109 |
+
To have your repository removed, open a data-removal request on the code
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| 110 |
+
repository. Because slugs are anonymised, maintainers resolve the request
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| 111 |
+
through a private map held off-Hub, then publish a new gated revision (and
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| 112 |
+
Zenodo version) with the matching rows removed.
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| 113 |
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| 114 |
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## Citation
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| 115 |
+
|
| 116 |
+
```bibtex
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| 117 |
+
@inproceedings{zerhoudi2026compaction,
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| 118 |
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author = {Zerhoudi, Saber and Mitrovi\'{c}, Jelena and Granitzer, Michael},
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| 119 |
+
title = {The Compaction Cliff in Long-Running AI Agent Memory},
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| 120 |
+
year = {2026},
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| 121 |
+
booktitle = {Proceedings of the 35th ACM International Conference on Information and Knowledge Management},
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| 122 |
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series = {CIKM '26},
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| 123 |
+
doi = {10.1145/3799682.3840567},
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| 124 |
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}
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| 125 |
+
```
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build_stats.json
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| 1 |
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{
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| 2 |
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"in_scope": 265999,
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| 3 |
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"unique_content": 190317,
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| 4 |
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"manifest_rows": 265999,
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| 5 |
+
"corpus_rows": 252926,
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| 6 |
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"opted_out": 0,
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| 7 |
+
"redactions_applied": 332978,
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| 8 |
+
"unique_repos_anonymized": 54445,
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| 9 |
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"corpus_drop_reasons": {
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| 10 |
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"size-out-of-range": 9497,
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| 11 |
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"secret-detected": 294,
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| 12 |
+
"not-materialised": 2000,
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| 13 |
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"read-error": 1282
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| 14 |
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},
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| 15 |
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"families": [
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| 16 |
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"continuerules",
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| 17 |
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"cursorrules",
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| 18 |
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"md",
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| 19 |
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"mdc",
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| 20 |
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"windsurfrules"
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| 21 |
+
]
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| 22 |
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}
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corpus/part-00000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:267cd7b74ce3c87ea8676a2c5055a10ee848a9a62a8cd2d751f154d66b0fc986
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size 86225984
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corpus/part-00001.parquet
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corpus/part-00002.parquet
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corpus/part-00003.parquet
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corpus/part-00004.parquet
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version https://git-lfs.github.com/spec/v1
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corpus/part-00005.parquet
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version https://git-lfs.github.com/spec/v1
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manifest/part-00000.parquet
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version https://git-lfs.github.com/spec/v1
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manifest/part-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b2167c8277431ff393256f6a4d19f45f9526035a94d83e7ea647fd2fc6519fc
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manifest/part-00002.parquet
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version https://git-lfs.github.com/spec/v1
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manifest/part-00003.parquet
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version https://git-lfs.github.com/spec/v1
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manifest/part-00004.parquet
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version https://git-lfs.github.com/spec/v1
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manifest/part-00005.parquet
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version https://git-lfs.github.com/spec/v1
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