Datasets › SCDE
SCDE
SCDE is a human-created sentence cloze dataset, collected from public school English examinations in China. The task requires a model to fill up multiple blanks in a passage from a shared candidate set with distractors designed by English teachers.
Source: SCDE
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Question Answering | SCDE | albert-xxlarge + APN(baseline) BA 0.852 | — | — | 3 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations | 1 | 1 | 27 Apr 2020 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SCDE
1 variant name, as the archive lists them.
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