Datasets:
Simplify model and dataset descriptions
Browse files- README.md +2 -2
- manifest.json +2 -2
README.md
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@@ -15,7 +15,7 @@ The matching checkpoints are in [alien-models](https://huggingface.co/alejandroh
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- `papers.tar.gz`: 16,068 methodological summaries (`blog.md`) and their extracted/refined atom JSON files; original clustering and the 80%-coverage atom assignments. Extracts to `papers/`. Original PDFs are referenced by metadata, not redistributed.
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- `data.tar.gz`: SQLite paper and author metadata, original token vocabulary, and coherence train/validation splits. Extracts to `data/`.
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- `availability-compact.tar.gz`:
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- `contrastive_availability_train.jsonl.gz` and `contrastive_availability_val.jsonl.gz`: optional exchange-format examples, approximately 3.75 GB and 0.42 GB compressed. The metadata and token mapping are provided alongside them.
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- `research-assets.tar.gz`: fixed atom combinations and Markdown proposal texts from Alien (299), Random (300), Claude Opus 4.7 (300), and Gemini 3.1 Pro (300). Each method folder contains a `combinations.json` index linking atom IDs to proposal files.
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## Provenance and contact identifiers
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Paper metadata and author links originate from the authors' OpenReview/DBLP-based corpus; methodological summaries and atoms were generated by the
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Email columns are omitted. The 1,208 email-based author IDs in the metadata are consistently replaced across public profiles, author links, training examples, and model bank metadata. Author display names and non-email service identifiers remain; this is not a fully anonymous dataset. Token sequences, training split membership, and model-bank row alignment are unchanged.
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- `papers.tar.gz`: 16,068 methodological summaries (`blog.md`) and their extracted/refined atom JSON files; original clustering and the 80%-coverage atom assignments. Extracts to `papers/`. Original PDFs are referenced by metadata, not redistributed.
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- `data.tar.gz`: SQLite paper and author metadata, original token vocabulary, and coherence train/validation splits. Extracts to `data/`.
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- `availability-compact.tar.gz`: availability training data. Extracts to `data/availability_dataset/`; approximately 1.8 GB compressed and 4.3 GB extracted.
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- `contrastive_availability_train.jsonl.gz` and `contrastive_availability_val.jsonl.gz`: optional exchange-format examples, approximately 3.75 GB and 0.42 GB compressed. The metadata and token mapping are provided alongside them.
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- `research-assets.tar.gz`: fixed atom combinations and Markdown proposal texts from Alien (299), Random (300), Claude Opus 4.7 (300), and Gemini 3.1 Pro (300). Each method folder contains a `combinations.json` index linking atom IDs to proposal files.
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## Provenance and contact identifiers
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Paper metadata and author links originate from the authors' OpenReview/DBLP-based corpus; methodological summaries and atoms were generated by the LLM pipeline. Paper source URLs are provided in the SQLite database. The atom catalogue uses 80%-coverage clustering.
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Email columns are omitted. The 1,208 email-based author IDs in the metadata are consistently replaced across public profiles, author links, training examples, and model bank metadata. Author display names and non-email service identifiers remain; this is not a fully anonymous dataset. Token sequences, training split membership, and model-bank row alignment are unchanged.
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manifest.json
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{
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"files": {
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"README.md": {
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"bytes":
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"sha256": "
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},
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"availability-compact.tar.gz": {
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"bytes": 1806072602,
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{
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"files": {
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"README.md": {
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"bytes": 3711,
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"sha256": "1257491ed22cdf68e3aba9f8699c5a7f87e87a635a04a3a8f78bba0e29f6d084"
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},
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"availability-compact.tar.gz": {
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"bytes": 1806072602,
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