| --- |
| license: other |
| language: |
| - en |
| pretty_name: SLM-in-SciPaper |
| task_categories: |
| - token-classification |
| - text-classification |
| - summarization |
| - question-answering |
| configs: |
| - config_name: training_manifest |
| data_files: |
| - split: train |
| path: data/training_datasets_manifest.csv |
| - config_name: keyword_kp20k |
| data_files: |
| - split: train |
| path: data/keyword_keyphrase/kp20k/train.jsonl |
| - split: validation |
| path: data/keyword_keyphrase/kp20k/validation.jsonl |
| - split: test |
| path: data/keyword_keyphrase/kp20k/test.jsonl |
| - config_name: keyword_ldkp10k |
| data_files: |
| - split: train |
| path: data/keyword_keyphrase/ldkp10k/train.jsonl |
| - split: validation |
| path: data/keyword_keyphrase/ldkp10k/validation.jsonl |
| - split: test |
| path: data/keyword_keyphrase/ldkp10k/test.jsonl |
| - config_name: keyword_semeval2010 |
| data_files: |
| - split: train |
| path: data/keyword_keyphrase/semeval2010/train.jsonl |
| - split: test |
| path: data/keyword_keyphrase/semeval2010/test.jsonl |
| - config_name: structure_pubmed_rct |
| data_files: |
| - split: train |
| path: data/structure/pubmed_rct/train.jsonl |
| - split: validation |
| path: data/structure/pubmed_rct/validation.jsonl |
| - split: test |
| path: data/structure/pubmed_rct/test.jsonl |
| - config_name: structure_qasper |
| data_files: |
| - split: train |
| path: data/structure/qasper/train.jsonl |
| - split: validation |
| path: data/structure/qasper/validation.jsonl |
| - split: test |
| path: data/structure/qasper/test.jsonl |
| - config_name: structure_aclsum |
| data_files: |
| - split: train |
| path: data/structure/aclsum/train.jsonl |
| - split: validation |
| path: data/structure/aclsum/validation.jsonl |
| - split: test |
| path: data/structure/aclsum/test.jsonl |
| - config_name: paper_corpus_manifest |
| data_files: |
| - split: train |
| path: data/paper_corpus/manifest.csv |
| --- |
| |
| # SLM-in-SciPaper |
|
|
| This repository stores the data and model assets used by the SLM-in-SciPaper project. |
|
|
| ## Contents |
|
|
| - `data/keyword_keyphrase`: processed Stage 1 keyphrase extraction data. |
| - `data/structure`: processed Stage 2 structural evidence modeling data. |
| - `data/paper_corpus/full_library_txt`: 178 plain-text scientific papers used as the local demonstration corpus. |
| - `data/paper_corpus/manifest.csv`: metadata and file paths for the 178-paper text corpus. |
| - `data/training_datasets_manifest.csv`: a compact index of the processed training/evaluation files. |
| - `resources/lexicon`: supplementary section BoW, TF-IDF, frequency, and evidence cue resources used by the inference pipeline. |
| - `models`: model assets/checkpoints previously uploaded for this project. |
|
|
| ## Training Data Actually Used |
|
|
| The final local pipeline used six processed training datasets: |
|
|
| | Stage | Dataset | Role in the project | |
| |---|---|---| |
| | Stage 1 | KP20k | keyword extractor warm-up | |
| | Stage 1 | LDKP10K | long-document keyword fine-tuning | |
| | Stage 1 | SemEval2010 | final keyword fine-tuning/evaluation | |
| | Stage 2 | PubMed RCT | hard role supervision | |
| | Stage 2 | QASPER | evidence supervision and partial role constraint | |
| | Stage 2 | ACLSum | importance supervision and facet role supervision | |
|
|
| SciTLDR weak data existed in the local workspace but was not used by the final reported training pipeline, so it is not included as a training dataset here. |
|
|
| ## Data Format |
|
|
| The processed training data is stored as JSONL files. Each line is one document-level record in the schema consumed by the project code. Summary files are kept beside each dataset directory when available. |
|
|
| The paper corpus is stored as individual `.txt` files. Use `data/paper_corpus/manifest.csv` to map each paper id to its text file. |
|
|
| ## Notes |
|
|
| This repository contains processed versions of public research datasets and a local paper-text corpus for course/research use. Original upstream dataset licenses and terms should be checked before redistribution or commercial use. |
|
|
|
|
