| ---
|
| language:
|
| - en
|
| - zh
|
| license: other
|
| license_name: source-specific-licenses
|
| license_link: https://github.com/eyanhe/NLP-Course-Project-LFTC/blob/main/assets.lock.json
|
| task_categories:
|
| - text-classification
|
| tags:
|
| - checkpoints
|
| - reproducibility
|
| ---
|
| # LFTC: datasets and checkpoints
|
|
|
| Uploaded and content-verified.
|
|
|
| This is the large-asset companion to [NLP-Course-Project-LFTC](https://github.com/eyanhe/NLP-Course-Project-LFTC).
|
| Code, reports, figures, PowerPoint, Excel, metrics and per-example predictions are in GitHub.
|
|
|
| The local snapshot contains **2,044 asset files**, **56,530,278,162 bytes**.
|
| Files under `artifacts/` retain their original project-relative paths, including datasets, prepared inputs, pretrained models, final/local checkpoints and feature bundles. Historical `.cache/` candidate checkpoints are stored under `artifacts/legacy-candidates/`, since the Hub reserves `.cache/` paths.
|
| [artifact-manifest.json](artifact-manifest.json) records paths, sizes, SHA256 values and verification status.
|
|
|
| ## Restore
|
|
|
| ```sh
|
| hf download Eyanhe/LFTC_Dataset_And_Checkpoints --repo-type dataset --local-dir ../lftc-assets
|
| ```
|
|
|
| Merge the downloaded files into the GitHub project root according to the manifest's original `path` field. In particular, restore `artifacts/legacy-candidates/` to the original `.cache/` directory; other `artifacts/` paths map directly to the project root.
|
| The snapshot covers files actually present on the local workstation; it does not claim that every checkpoint produced on the training cluster has been downloaded.
|
|
|
| ## Provenance and scope
|
|
|
| The study has 428 completed v3 records, including 232 current-research records, 226 with V metrics and 42 fixed models with formal Q evaluations.
|
| These counts describe experiments, not a promise of 428 complete checkpoint folders. The original 2,859-item matrix was not fully executed.
|
|
|
| Each original dataset and pretrained model retains its own source-specific license. The mixed collection is not relicensed under one blanket license.
|
| Original asset locks and model/readme metadata are retained at their corresponding paths and in GitHub.
|
| Local credentials, runtimes, private cluster-login helpers, regenerable MinHash work cache and duplicate transfer archives are outside this publication.
|
|
|
