Datasets › RWSD

RWSD (The Winograd Schema Challenge (Russian))

Introduced by Tatiana Shavrina et al. in RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark29 Oct 2020 archive 2025-07-28

A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution. The schema takes its name from a well-known example by Terry Winograd.

The set would then be presented as a challenge for AI programs, along the lines of the Turing test. The strengths of the challenge are that it is clear-cut, in that the answer to each schema is a binary choice; vivid, in that it is obvious to non-experts that a program that fails to get the right answers clearly has serious gaps in its understanding; and difficult, in that it is far beyond the current state of the art.

Task Type

Logic and Reasoning, World knowledge. Binary Classification: true/false

Example
{
  "text": "Кубок не помещается в коричневый чемодан, потому что он слишком большой."
  "label": false,
  "idx": 5,
  "target": {
    "span1_text": "чемодан",
    "span2_text": "он слишком большой",
    "span1_index": 5,
    "span2_index": 8
  },
}
How did we collect data?

All text examples were collected manually translating and adapting original Winograd dataset for Russian. Human assessment was carried out on Yandex.Toloka.

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)PaperCode
Common Sense Reasoning RWSD Golden Transformer Accuracy 0.545 — — 22 Compare

Papers archive 2025-07-28

3 shown of 3 papers 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 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks 0 3 3 May 2021 not harvested
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark 2 2 29 Oct 2020 ran 1 of 1 samples (0 unverified)
mT5: A massively multilingual pre-trained text-to-text transformer 8 1 22 Oct 2020 ran 0 of 13 samples (13 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • RWSD

1 variant name, as the archive lists them.

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