README.md

metadata

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.