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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test
path: data/test-*
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype: string
- name: source
dtype: string
- name: split
dtype: string
- name: premise_ru
dtype: string
- name: hypothesis_ru
dtype: string
- name: reverse_entailment_score
dtype: float64
- name: len_ratio
dtype: float64
- name: idx
dtype: int64
splits:
- name: train
num_bytes: 1156491691
num_examples: 1756548
- name: dev
num_bytes: 78632908
num_examples: 106557
- name: test
num_bytes: 30464486
num_examples: 34615
download_size: 504709758
dataset_size: 1265589085
task_categories:
- text-classification
task_ids:
- natural-language-inference
language:
- ru
size_categories:
- 1M<n<10M
---
# Dataset Card for "nli-rus-translated-v2021"
This dataset was introduced in the Habr post
["Нейросети для Natural Language Inference (NLI): логические умозаключения на русском языке"](https://habr.com/ru/articles/582620/).
It is composed from various English NLI datasets automatically translated into Russian.
Here are the sizes of the source datasets included into different splits:
| source | train | dev | test |
|:------------|--------:|------:|-------:|
| add_one_rte | 4991 | 387 | 0 |
| anli_r1 | 16946 | 1000 | 1000 |
| anli_r2 | 45460 | 1000 | 1000 |
| anli_r3 | 100459 | 1200 | 1200 |
| copa | 800 | 200 | 0 |
| fever | 162330 | 20478 | 20343 |
| help | 29347 | 3355 | 3189 |
| iie | 281643 | 31232 | 0 |
| imppres | 10179 | 7661 | 7660 |
| joci | 8412 | 939 | 0 |
| mnli | 392662 | 19647 | 0 |
| monli | 2186 | 269 | 223 |
| mpe | 9000 | 1000 | 0 |
| qnli | 108436 | 5732 | 0 |
| scitail | 24900 | 2126 | 0 |
| sick | 9500 | 500 | 0 |
| snli | 549297 | 9831 | 0 |
Most of the original data were taken from the repository [felipessalvatore/NLI_datasets](https://github.com/felipessalvatore/NLI_datasets).
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)