Update Apache-2.0 release audit metadata
Browse files- MANIFEST.md +4 -2
- RELEASE_AUDIT.md +7 -6
- SHA256SUMS +2 -2
MANIFEST.md
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# BERTose and AFFINose Training-Code Manifest
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**Updated**: 2026-
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**Public repository**: `https://huggingface.co/supanthadey1/bertose-affinose-training-code`
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**Current public contents**:
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**Scope**: training, benchmarking, probe, split/vocabulary, and provenance code needed to understand and reproduce the released BERTose and AFFINose workflows.
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This manifest describes the files actually present in the public Hugging Face training-code repository. Large corpora, intermediate mapping files, checkpoints, generated figures, and full result bundles are intentionally not bundled here; the released checkpoints and inference notebook are linked from the repository README.
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| `README.md` | Reviewer/user-facing overview, repository map, checkpoint links, install notes, and quick import check |
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| `MANIFEST.md` | This file; exact public package map |
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| `RELEASE_AUDIT.md` | Public-release checks, repaired gaps, verification results, and known scope limits |
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| `requirements.txt` | Core Python dependencies plus optional analysis/probe packages |
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| `SHA256SUMS` | Checksums for every public file except `SHA256SUMS` itself |
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- The repository is public and ungated.
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- The remote file list exactly matches the local staged release.
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- A no-token snapshot download succeeds.
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- `SHA256SUMS` verifies every downloaded file.
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- No Hugging Face token-looking strings were found.
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# BERTose and AFFINose Training-Code Manifest
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**Updated**: 2026-06-10
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**Public repository**: `https://huggingface.co/supanthadey1/bertose-affinose-training-code`
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**Current public contents**: 130 files, approximately 54 MB
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**Scope**: training, benchmarking, probe, split/vocabulary, and provenance code needed to understand and reproduce the released BERTose and AFFINose workflows.
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This manifest describes the files actually present in the public Hugging Face training-code repository. Large corpora, intermediate mapping files, checkpoints, generated figures, and full result bundles are intentionally not bundled here; the released checkpoints and inference notebook are linked from the repository README.
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| `README.md` | Reviewer/user-facing overview, repository map, checkpoint links, install notes, and quick import check |
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| `MANIFEST.md` | This file; exact public package map |
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| `RELEASE_AUDIT.md` | Public-release checks, repaired gaps, verification results, and known scope limits |
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| `LICENSE` | Apache License 2.0 terms for the BERTose/AFFINose code, notebooks and released model artifacts |
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| `requirements.txt` | Core Python dependencies plus optional analysis/probe packages |
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| `SHA256SUMS` | Checksums for every public file except `SHA256SUMS` itself |
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- The repository is public and ungated.
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- The remote file list exactly matches the local staged release.
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- Model card license metadata is `apache-2.0`, and the repository includes an Apache-2.0 `LICENSE` file.
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- A no-token snapshot download succeeds.
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- `SHA256SUMS` verifies every downloaded file.
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- No Hugging Face token-looking strings were found.
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RELEASE_AUDIT.md
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# BERTose/AFFINose Training Code Release Audit
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Date: 2026-
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## Current Hugging Face State
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| Repository | Public | Gated | Snapshot | Training code present |
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|---|---:|---:|---|---:|
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| `supanthadey1/bertose-glycan-encoder` | yes | no | `
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| `supanthadey1/bertose-iar-resolver` | yes | no | `
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| `supanthadey1/affinose-interaction-model` | yes | no | `
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| `supanthadey1/bertose-affinose-inference` | yes | no | `
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| `supanthadey1/bertose-affinose-training-code` | yes | no | see current Hub head | yes |
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Conclusion: the Hugging Face release is split cleanly between inference artifacts and the dedicated training/reproducibility companion.
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It contains:
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```text
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-
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```
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The repository is a curated public training/reproducibility companion. It includes code, configs, vocabulary/split metadata, package-local dependencies, and provenance notes. It intentionally does not include the multi-GB corpora, intermediate mappings, checkpoints, generated figures, or full result bundles.
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- `private=False` and `gated=False`.
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- Required public files are present, including the repaired training modules.
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- Full no-token snapshot download succeeds.
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- Downloaded snapshot passes `SHA256SUMS` verification and coverage checks.
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- Downloaded snapshot has no `.secrets`, `__pycache__`, `.pyc`, or `.DS_Store` artifacts.
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# BERTose/AFFINose Training Code Release Audit
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Date: 2026-06-10
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## Current Hugging Face State
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| Repository | Public | Gated | Snapshot | Training code present |
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|---|---:|---:|---|---:|
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| `supanthadey1/bertose-glycan-encoder` | yes | no | `62e2bb88557c` | no |
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| `supanthadey1/bertose-iar-resolver` | yes | no | `68938794e4af` | no |
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| `supanthadey1/affinose-interaction-model` | yes | no | `f13784cb11c7` | no |
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| `supanthadey1/bertose-affinose-inference` | yes | no | `8b9eee2aac0c` | no |
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| `supanthadey1/bertose-affinose-training-code` | yes | no | see current Hub head | yes |
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Conclusion: the Hugging Face release is split cleanly between inference artifacts and the dedicated training/reproducibility companion.
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It contains:
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```text
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130 files, approximately 54 MB
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```
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The repository is a curated public training/reproducibility companion. It includes code, configs, vocabulary/split metadata, package-local dependencies, and provenance notes. It intentionally does not include the multi-GB corpora, intermediate mappings, checkpoints, generated figures, or full result bundles.
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- `private=False` and `gated=False`.
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- Required public files are present, including the repaired training modules.
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- Model card license metadata is `apache-2.0`, and each public repo contains an Apache-2.0 `LICENSE` file.
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- Full no-token snapshot download succeeds.
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- Downloaded snapshot passes `SHA256SUMS` verification and coverage checks.
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- Downloaded snapshot has no `.secrets`, `__pycache__`, `.pyc`, or `.DS_Store` artifacts.
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SHA256SUMS
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a7d0dbe3088ee22e14bd9e1d1ddf56ba4efbb7c8a79ae59e309787ba604e5a09 .gitattributes
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a6cba85bc92e0cff7a450b1d873c0eaa2e9fc96bf472df0247a26bec77bf3ff9 LICENSE
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-
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209bf0a55525d3f3d3f3b4e4efe1c110662ac7eac24df94511a146a005b6d730 README.md
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-
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7286c5016e3b03dda7b49d852bcea37722b3ba9028f3715af35c708bab3e1051 code/affinose/README.md
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bdeef1f7f1ef86f10e36fb75105d5a298a6d0af76041adab60605430cc6377d0 code/benchmarks/calculate_rankings.py
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07e21e7ec893453bf60a805abda0f177592d10dbf7af28dd609c763f35c68d4d code/benchmarks/consolidate_results.py
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a7d0dbe3088ee22e14bd9e1d1ddf56ba4efbb7c8a79ae59e309787ba604e5a09 .gitattributes
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a6cba85bc92e0cff7a450b1d873c0eaa2e9fc96bf472df0247a26bec77bf3ff9 LICENSE
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da124040868d09023b0cf8babe348d153300fb1a91db31c625d8873c1a3c0142 MANIFEST.md
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209bf0a55525d3f3d3f3b4e4efe1c110662ac7eac24df94511a146a005b6d730 README.md
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7c395b48f5234602ff8f5e12adb1e24932d460a05dfa522ba3ae245d15f469a1 RELEASE_AUDIT.md
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7286c5016e3b03dda7b49d852bcea37722b3ba9028f3715af35c708bab3e1051 code/affinose/README.md
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bdeef1f7f1ef86f10e36fb75105d5a298a6d0af76041adab60605430cc6377d0 code/benchmarks/calculate_rankings.py
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07e21e7ec893453bf60a805abda0f177592d10dbf7af28dd609c763f35c68d4d code/benchmarks/consolidate_results.py
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