| --- |
| configs: |
| - config_name: engineering_human_factor |
| data_files: |
| - split: train |
| path: data/engineering_human_factor.json |
| - config_name: material_science_additive_manufacturing |
| data_files: |
| - split: train |
| path: data/material_science_additive_manufacturing.json |
| - config_name: physics_surface_enhanced_raman_spectroscopy |
| data_files: |
| - split: train |
| path: data/physics_surface_enhanced_raman_spectroscopy.json |
| - config_name: public_health_infectious_disease_modeling |
| data_files: |
| - split: train |
| path: data/public_health_infectious_disease_modeling.json |
| - config_name: earth_science_remote_sensing |
| data_files: |
| - split: train |
| path: data/earth_science_remote_sensing.json |
| pretty_name: Intrabench |
| task_categories: |
| - question-answering |
| - text-classification |
| size_categories: |
| - n<1K |
| license: mit |
| language: |
| - en |
| --- |
| |
| # IntraBench Spaceholding |
|
|
| This dataset is a five-domain benchmark of multiple-choice research questions derived from scientific literature. |
| Each example represents one question-paper pair with a gold letter answer and supporting metadata. |
|
|
| ## Subsets |
| - `engineering_human_factor`: Engineering - Human Factor |
| - `material_science_additive_manufacturing`: Material Science - Additive Manufacturing |
| - `physics_surface_enhanced_raman_spectroscopy`: Physics - Surface Enhanced Raman Spectroscopy |
| - `public_health_infectious_disease_modeling`: Public Health - Infectious-disease Modeling |
| - `earth_science_remote_sensing`: Earth Science - Remote Sensing |
|
|
| ## Data Schema |
|
|
| Each record contains: |
|
|
| - `subject`: human-readable subject name |
| - `paper_id`: paper index within the subject subset |
| - `paper_title`: canonical benchmark paper title |
| - `question_id`: question identifier |
| - `question`: canonical benchmark question wording |
| - `choices`: answer choice dictionary keyed by `A`-`F` |
| - `answer`: gold answer letter |
| - `metadata`: extra metadata with: |
| - `Task-oriented Category` |
| - `question_key_term` |
| - `term_explanation` |
|
|
| ## Notes |
|
|
| - The published dataset excludes source PDFs, markdown paper extracts, and internal evaluation outputs. |
| - The benchmark uses canonical paper titles and normalized question wording across all five domains. |
| - Data files are stored as JSON arrays and exposed as separate Hugging Face configs. |
|
|
| ## Citation |
|
|
| If you publish this dataset, add the benchmark paper citation here. |
