Datasets › TERRa
TERRa (Textual Entailment Recognition for Russian)
Textual Entailment Recognition has been proposed recently as a generic task that captures major semantic inference needs across many NLP applications, such as Question Answering, Information Retrieval, Information Extraction, and Text Summarization. This task requires to recognize, given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text.
Task Type
RTE (Recognizing Textual Entailment) Sentence Pair Classification - Entailment - Not Entailment
Example
{
"premise": "Автор поста написал в комментарии, что прорвалась канализация.",
"hypothesis": "Автор поста написал про канализацию.",
"label": "entailment",
"idx": "6062"
}
How did we collect data?
All text examples were collected from open news sources and literary magazines, then manually reviewed and supplemented by a human assessment 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Natural Language Inference | TERRa | Human Benchmark Accuracy 0.92 | RussianSuperGLUE: A Russian Language Understanding... | RussianNLP/RussianSuperGLUE +1 | 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.
| Date | Samples 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
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- TERRa
1 variant name, as the archive lists them.
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