Datasets:
card: align with BalkanBench v0.1 release (live leaderboard, LoResLM 2026 cite, hidden-test contract)
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README.md
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---
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language:
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- sr
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task_categories:
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- text-classification
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tags:
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pretty_name: Serbian SuperGLUE Benchmark (no test)
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: boolq
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data_files:
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- split: train
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path: boolq/train-*
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- split: validation
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path: boolq/validation-*
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- config_name: cb
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data_files:
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- split: train
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path: cb/train-*
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- split: validation
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path: cb/validation-*
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- config_name: copa
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data_files:
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- split: train
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path: copa/train-*
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- split: dev
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path: copa/dev-*
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- config_name: multirc
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data_files:
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- split: train
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path: multirc/train-*
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- split: validation
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path: multirc/validation-*
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- config_name: rte
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data_files:
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- split: train
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path: rte/train-*
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- split: validation
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path: rte/validation-*
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- config_name: wsc
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data_files:
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- split: train
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path: wsc/train-*
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- split: validation
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path: wsc/validation-*
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- config_name: record
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data_files:
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- split: train
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path: record/train-*
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- split: validation
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path: record/validation-*
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---
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#
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| **CB** | NLI | 3 | 250 | 56 | — |
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| **COPA** | Reasoning | 2 | 400 | — | — |
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| **MultiRC** | QA | 2 | 27,243 | 4,848 | — |
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| **RTE** | NLI | 2 | 2,490 | 277 | — |
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| **WSC** | Coref | 2 | 554 | 104 | — |
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| **ReCoRD** | QA (span) | — | 5,607 | 1,869 | — |
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##
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```python
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from datasets import load_dataset
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```
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- **
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- **
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- **
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- **record**: `passage`, `query`, `entities`, `entity_spans`, `answers`, `idx` (span-selection, training-ready)
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- [`permitt/superglue-mne`](https://huggingface.co/datasets/permitt/superglue-mne) / `…-mne-private`
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- [`permitt/superglue-hr`](https://huggingface.co/datasets/permitt/superglue-hr) / `…-hr-private`
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```bibtex
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@inproceedings{wang2019superglue,
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title
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author
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}
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```
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## License
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---
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license: cc-by-4.0
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language:
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- sr
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multilinguality: monolingual
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pretty_name: BalkanBench SuperGLUE - Serbian
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size_categories:
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- 10K<n<100K
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source_datasets:
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- extended|super_glue
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task_categories:
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- text-classification
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- multiple-choice
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- question-answering
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tags:
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- balkanbench
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- bcms
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- serbian
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- superglue
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- nlu
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- benchmark
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---
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# BalkanBench SuperGLUE - Serbian
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> **Part of [BalkanBench](https://balkanbench.com)** - the open, reproducible
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> benchmark for language models across Serbian, Croatian, Montenegrin, and
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> Bosnian (BCMS). Live leaderboard at <https://balkanbench.com/leaderboard>.
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> Background and motivation: [Release of BalkanBench - the vision behind it
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> (Medium, 2026-04-27)](https://medium.com/@permitt/release-of-balkanbench-vision-behind-it-fd1ba73be411).
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This is the **Serbian SuperGLUE** track of BalkanBench v0.1. Serbian is the
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official frozen track: the leaderboard's ranked average is computed over
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**6 ranked tasks**, with 2 diagnostic tasks reported separately. Croatian
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and Montenegrin previews live in sibling repos
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([superglue-hr](https://huggingface.co/datasets/permitt/superglue-hr) /
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[superglue-mne](https://huggingface.co/datasets/permitt/superglue-mne)).
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## What's inside
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7 task configs are published here in their full train + validation + public
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test form (test-input visible, **test labels hidden**):
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| Config | What it tests | Train | Validation | Test |
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|---------|----------------------------------------------------------|------:|-----------:|------:|
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| boolq | Yes/no question answering over passages | 9,427 | 3,270 | 3,245 |
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| cb | 3-way textual entailment (entail / contradict / neutral) | 250 | 56 | 250 |
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| copa | Causal reasoning between two alternatives | 400 | 100 | 500 |
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| multirc | Multi-sentence reading comprehension (multiple correct) | 27,243| 4,848 | 9,693 |
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| record | Commonsense cloze over news articles | 5,607 | 1,869 | 1,869 |
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| rte | Binary textual entailment | 2,490 | 277 | 3,000 |
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| wsc | Coreference resolution requiring world knowledge | 554 | 104 | 146 |
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| **TOTAL** | | **45,971** | **10,524** | **18,703** |
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For the **6 ranked v0.1 tasks** (BoolQ, CB, COPA, RTE, MultiRC, WSC) the
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total is **65,853 items** across all splits; ReCoRD ships in this repo for
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community use but is not part of the v0.1 ranked average. The
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**diagnostic tasks** AX-b (1,104) and AX-g (356) are Serbian-only and
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ship in the gated [superglue-sr-private](https://huggingface.co/datasets/permitt/superglue-sr-private)
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sibling repo with their test labels.
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## Hidden test labels
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Every config's `test` split here is **input-only**. The matching labels live
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in a gated sibling repo,
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[`permitt/superglue-sr-private`](https://huggingface.co/datasets/permitt/superglue-sr-private),
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and are accessed only by the official scoring pipeline. This preserves
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leaderboard integrity: nobody (including model authors) can train against
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test labels, and `train` + `validation` remain a fully open and labeled
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playground.
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To get a number on the leaderboard you generate predictions on the public
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test inputs with `balkanbench predict`, then submit the `predictions.jsonl`
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through the [submission flow](https://balkanbench.com).
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## Loading
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```python
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from datasets import load_dataset
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# A specific task
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boolq = load_dataset("permitt/superglue-sr", "boolq")
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print(boolq["train"][0])
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# All ranked tasks at once
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for cfg in ["boolq", "cb", "copa", "rte", "multirc", "wsc"]:
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ds = load_dataset("permitt/superglue-sr", cfg)
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print(cfg, {sp: len(ds[sp]) for sp in ds})
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```
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Pin a revision for reproducible runs:
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```python
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load_dataset("permitt/superglue-sr", "boolq", revision="v0.1.0-data")
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```
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## Schema
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Each example carries an integer row id `idx` and the task-specific input
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fields plus a `label` column. For example, `cb`:
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```python
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{
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"idx": 0,
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"premise": "Bio je to složen jezik. ...",
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"hypothesis": "Jezik je ogoljen.",
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"label": 0, # 0=entailment, 1=contradiction, 2=neutral
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}
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```
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Per-task field lists are in
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[`eval/configs/benchmarks/superglue/tasks/`](https://github.com/permitt/balkan-bench/tree/main/eval/configs/benchmarks/superglue/tasks)
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in the BalkanBench repo.
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## Methodology
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- **Translation**: original SuperGLUE English -> Serbian via translation +
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human verification by native speakers.
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- **Frozen splits**: train/validation/test row counts and IDs are pinned
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at tag `v0.1.0-data`; reruns of an evaluation against this tag will see
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the exact same data.
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- **Test labels stay private**: see the gated sibling repo above.
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Full methodology, scoring contract, and provenance:
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- [Benchmark contract](https://github.com/permitt/balkan-bench/blob/main/docs/methodology/benchmark_contract.md)
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- [Data provenance](https://github.com/permitt/balkan-bench/blob/main/docs/methodology/data_provenance.md)
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- [Versioning](https://github.com/permitt/balkan-bench/blob/main/docs/methodology/versioning.md)
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## Citation
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If you use this dataset, please cite the Serbian SuperGLUE paper (Perović &
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Mihajlov, LoResLM 2026), the original SuperGLUE paper, and the BalkanBench
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release:
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```bibtex
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@inproceedings{perovic-mihajlov-2026-serbian,
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title = "{S}erbian {S}uper{GLUE}: Towards an Evaluation Benchmark for {S}outh {S}lavic Language Models",
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author = "Perovic, Mitar and Mihajlov, Teodora",
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editor = "Hettiarachchi, Hansi and Ranasinghe, Tharindu and Plum, Alistair and
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Rayson, Paul and Mitkov, Ruslan and Gaber, Mohamed and Premasiri, Damith and
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Tan, Fiona Anting and Uyangodage, Lasitha",
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booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)",
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month = mar,
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year = "2026",
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address = "Rabat, Morocco",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2026.loreslm-1.30/",
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doi = "10.18653/v1/2026.loreslm-1.30",
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pages = "347--361",
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ISBN = "979-8-89176-377-7"
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}
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@inproceedings{wang2019superglue,
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title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
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author={Wang, Alex and Pruksachatkun, Yada and Nangia, Nikita and Singh, Amanpreet and
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Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},
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booktitle={NeurIPS},
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year={2019}
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}
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@misc{balkanbench2026superglue_sr,
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title={BalkanBench SuperGLUE-SR: Serbian SuperGLUE for the BCMS evaluation suite},
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author={Perović, Mitar and contributors},
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year={2026},
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howpublished={\url{https://huggingface.co/datasets/permitt/superglue-sr}},
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note={Part of BalkanBench v0.1, \url{https://balkanbench.com}}
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}
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```
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## License
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CC-BY-4.0 (matches the original SuperGLUE source license). Translations and
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human verification are released under the same terms.
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## Sponsor
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Compute for the official v0.1 evaluation is sponsored by
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**[Recrewty](https://recrewty.com)**.
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## Links
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- Live leaderboard: <https://balkanbench.com/leaderboard>
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- Project home: <https://balkanbench.com>
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- Background: [Release of BalkanBench - the vision behind it (Medium)](https://medium.com/@permitt/release-of-balkanbench-vision-behind-it-fd1ba73be411)
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- Source code: <https://github.com/permitt/balkan-bench>
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- Sibling tracks:
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[SuperGLUE-HR (Croatian)](https://huggingface.co/datasets/permitt/superglue-hr) ·
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[SuperGLUE-MNE (Montenegrin)](https://huggingface.co/datasets/permitt/superglue-mne)
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- Private (gated) labels: <https://huggingface.co/datasets/permitt/superglue-sr-private>
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