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| # Dataset Card · Academic Rhetorical Intent Mini v1.1 | |
| ## Overview | |
| A dataset of **1,026 synthetic-curated academic-style single sentences**, previously developed for a multilingual research-classification experiment. This project embeds a read-only JSON conversion of the original source CSV. | |
| ## Dataset fields | |
| `id` stable example key; `text` synthetic sentence; `language` (`en`, `es`, `pt`); `label` one of `background`, `objective`, `method`, `result`, `limitation`, `implication`; `domain` topical source domain; `template_group` synthetic generation family. The source CSV additionally contains `split`, `source_type`. | |
| ## Fixed partitions | |
| | Partition | Size | Use | | |
| |---|---:|---| | |
| | train | 842 | Fit the baseline algorithms | | |
| | test | 130 | Controlled, likely optimistic IID evaluation | | |
| | challenge | 54 | Fixed novel-pattern synthetic evaluation | | |
| No repartitioning is performed at startup. Original CSV entries are included so all labels, source fields and partitions can be verified. | |
| ## Scope / limitations | |
| The examples are artificial. They were not sampled randomly from peer-reviewed publications and are not a representative corpus for language-model fairness, plagiarism, or scholarly decision-making. The dataset contains templates and may have related paraphrase families across partitions even when exact overlap is zero. No student data or private manuscripts were used. | |
| ## License | |
| CC BY 4.0, as stated by the original dataset card (`ORIGINAL_DATASET_CARD.md`), separate from the application MIT license. | |