SuperGLUE (https://super.gluebenchmark.com/) is a new benchmark styled after GLUE with a new set of more difficult language understanding tasks, improved resources, and a new public leaderboard. An example of 'test' looks as follows.
Dataset Card
SuperGLUE (https://super.gluebenchmark.com/) is a new benchmark styled after GLUE with a new set of more difficult language understanding tasks, improved resources, and a new public leaderboard. An example of 'test' looks as follows. An example of 'test' looks as follows. An example of 'train' looks as follows. An example of 'train' looks as follows. An example of 'train' looks as follows. The data fields are the same among all splits. - sentence1: a string feature. - sentence2: a string feature. - idx: a int32 feature. - label: a classification label, with possible values including entailment (0), notentailment (1). - premise: a string feature. - hypothesis: a string feature. - idx: a…
Excerpt from the card by Amanpreet Singh, licensed other.
Structure
axb 1,104 rows
| Split | Rows | Size |
|---|---|---|
| test | 1,104 | 243.8 KB |
axg 356 rows
| Split | Rows | Size |
|---|---|---|
| test | 356 | 53.4 KB |
boolq 15,942 rows
| Split | Rows | Size |
|---|---|---|
| train | 9,427 | 6.2 MB |
| validation | 3,270 | 2.1 MB |
| test | 3,245 | 2.0 MB |
cb 556 rows
| Split | Rows | Size |
|---|---|---|
| train | 250 | 87.1 KB |
| validation | 56 | 21.9 KB |
| test | 250 | 93.6 KB |
copa 1,000 rows
| Split | Rows | Size |
|---|---|---|
| train | 400 | 49.3 KB |
| validation | 100 | 12.5 KB |
| test | 500 | 60.0 KB |
multirc 41,784 rows
| Split | Rows | Size |
|---|---|---|
| train | 27,243 | 50.9 MB |
| validation | 4,848 | 7.8 MB |
| test | 9,693 | 15.7 MB |
record 120,730 rows
| Split | Rows | Size |
|---|---|---|
| train | 100,730 | 179.2 MB |
| validation | 10,000 | 17.6 MB |
| test | 10,000 | 17.2 MB |
rte 5,767 rows
| Split | Rows | Size |
|---|---|---|
| train | 2,490 | 857.0 KB |
| validation | 277 | 90.8 KB |
| test | 3,000 | 724.4 KB |
wic 7,466 rows
| Split | Rows | Size |
|---|---|---|
| train | 5,428 | 661.9 KB |
| validation | 638 | 82.3 KB |
| test | 1,400 | 179.0 KB |
wsc 804 rows
| Split | Rows | Size |
|---|---|---|
| train | 554 | 89.6 KB |
| validation | 104 | 21.6 KB |
| test | 146 | 31.5 KB |
wsc.fixed 804 rows
| Split | Rows | Size |
|---|---|---|
| train | 554 | 89.6 KB |
| validation | 104 | 21.6 KB |
| test | 146 | 31.5 KB |
Details
- Repository
- aps/super_glue
- Publisher
- Amanpreet Singh
- Task category
- Text classification
- Tags
- superglue, NLU, natural language understanding
- Size category
- 10K<n<100K
- Languages
- en
- Revision
- 3de24cf8022e94f4ee4b9d55a6f539891524d646
- Last updated
- 2025-05-16
SAVRN's Notes on super_glue
SuperGLUE carries 196,313 rows across 11 configs in 102.5 MB, license listed as other, 685.9k monthly downloads, under the super_glue name with NLU tags. BoolQ is the biggest config at 15,942 rows; the diagnostic AX-b and AX-g sets are 1,104 and 356 rows. Our page shows two inbound models, both DeBERTa long-NLI variants: this is benchmark territory, not training territory.
The publisher line names an individual mirror, Amanpreet Singh's aps/super_glue, rather than the benchmark consortium, so pin the revision, last updated 2025-05-16, if you need reproducibility. Same play as GLUE: train on the larger configs' train splits, never on the eval sets, and read the per-task terms since other bundles several licenses. Expect modern base models to post near-ceiling scores.
Files
31 files, 102.5 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| axb/test-00000-of-00001.parquet | Data | 80.9 KB | 655cadf2b23e |
| axg/test-00000-of-00001.parquet | Data | 14.3 KB | 4ed3eddc7286 |
| boolq/test-00000-of-00001.parquet | Data | 1.3 MB | 95a74cd7c8fd |
| boolq/train-00000-of-00001.parquet | Data | 3.8 MB | 41e2ce07ac0d |
| boolq/validation-00000-of-00001.parquet | Data | 1.3 MB | f46438b8cce0 |
| cb/test-00000-of-00001.parquet | Data | 63.5 KB | e9b1164fed6c |
| cb/train-00000-of-00001.parquet | Data | 58.0 KB | a338d1276fd0 |
| cb/validation-00000-of-00001.parquet | Data | 18.0 KB | 36cf71dba8a3 |
| copa/test-00000-of-00001.parquet | Data | 40.2 KB | 7d7d6e12adc0 |
| copa/train-00000-of-00001.parquet | Data | 33.9 KB | 8e243c3a2428 |
| copa/validation-00000-of-00001.parquet | Data | 12.0 KB | 247a7f586c5c |
| multirc/test-00000-of-00001.parquet | Data | 580.9 KB | 465107b93b83 |
| multirc/train-00000-of-00001.parquet | Data | 1.7 MB | ced6d731a335 |
| multirc/validation-00000-of-00001.parquet | Data | 306.4 KB | 5eb64893afc5 |
| record/test-00000-of-00001.parquet | Data | 8.0 MB | 6a91cd50dbdf |
| record/train-00000-of-00001.parquet | Data | 75.1 MB | 20ae20deb498 |
| record/validation-00000-of-00001.parquet | Data | 8.1 MB | 3662aa327fec |
| rte/test-00000-of-00001.parquet | Data | 622.0 KB | 5a4c57d7b81e |
| rte/train-00000-of-00001.parquet | Data | 586.2 KB | 16c83717da2e |
| rte/validation-00000-of-00001.parquet | Data | 69.8 KB | b3740aac8052 |
| wic/test-00000-of-00001.parquet | Data | 126.8 KB | e77d12183550 |
| wic/train-00000-of-00001.parquet | Data | 410.3 KB | d6d2231730f5 |
| wic/validation-00000-of-00001.parquet | Data | 60.1 KB | 22cc5df62bf7 |
| wsc.fixed/test-00000-of-00001.parquet | Data | 12.2 KB | 5308e3ca6543 |
| wsc.fixed/train-00000-of-00001.parquet | Data | 27.3 KB | 13086042694c |
| wsc.fixed/validation-00000-of-00001.parquet | Data | 10.2 KB | aa64cc8f27c7 |
| wsc/test-00000-of-00001.parquet | Data | 12.2 KB | 4a39c4f576a4 |
| wsc/train-00000-of-00001.parquet | Data | 27.2 KB | a1fb4be43c74 |
| wsc/validation-00000-of-00001.parquet | Data | 10.2 KB | 1459bd736725 |
| README.md | Documentation | 19.7 KB | — |
| .gitattributes | Repository | 1.2 KB | — |
License and Download
- License
- other
- Access
- No access gate
Released by Amanpreet Singh through its official repository on Hugging Face.
Models Trained on This Dataset
- Trained on (disclosed)deberta-small-long-nli
- Trained on (disclosed)deberta-base-long-nli