Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Russian
Size:
10K - 100K
ArXiv:
License:
pretty_name: SberQuAD | |
annotations_creators: | |
- crowdsourced | |
language_creators: | |
- found | |
- crowdsourced | |
language: | |
- ru | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
task_categories: | |
- question-answering | |
task_ids: | |
- extractive-qa | |
paperswithcode_id: sberquad | |
dataset_info: | |
features: | |
- name: id | |
dtype: int32 | |
- name: title | |
dtype: string | |
- name: context | |
dtype: string | |
- name: question | |
dtype: string | |
- name: answers | |
sequence: | |
- name: text | |
dtype: string | |
- name: answer_start | |
dtype: int32 | |
config_name: sberquad | |
splits: | |
- name: train | |
num_bytes: 71631661 | |
num_examples: 45328 | |
- name: validation | |
num_bytes: 7972977 | |
num_examples: 5036 | |
- name: test | |
num_bytes: 36397848 | |
num_examples: 23936 | |
download_size: 66047276 | |
dataset_size: 116002486 | |
# Dataset Card for sberquad | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-instances) | |
- [Data Splits](#data-instances) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** [Needs More Information] | |
- **Repository:** https://github.com/sberbank-ai/data-science-journey-2017 | |
- **Paper:** https://arxiv.org/abs/1912.09723 | |
- **Leaderboard:** [Needs More Information] | |
- **Point of Contact:** [Needs More Information] | |
### Dataset Summary | |
Sber Question Answering Dataset (SberQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. | |
Russian original analogue presented in Sberbank Data Science Journey 2017. | |
### Supported Tasks and Leaderboards | |
[Needs More Information] | |
### Languages | |
Russian | |
## Dataset Structure | |
### Data Instances | |
``` | |
{ | |
"context": "Первые упоминания о строении человеческого тела встречаются в Древнем Египте...", | |
"id": 14754, | |
"qas": [ | |
{ | |
"id": 60544, | |
"question": "Где встречаются первые упоминания о строении человеческого тела?", | |
"answers": [{"answer_start": 60, "text": "в Древнем Египте"}], | |
} | |
] | |
} | |
``` | |
### Data Fields | |
- id: a int32 feature | |
- title: a string feature | |
- context: a string feature | |
- question: a string feature | |
- answers: a dictionary feature containing: | |
- text: a string feature | |
- answer_start: a int32 feature | |
### Data Splits | |
| name |train |validation|test | | |
|----------|-----:|---------:|-----| | |
|plain_text|45328 | 5036 |23936| | |
## Dataset Creation | |
### Curation Rationale | |
[Needs More Information] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[Needs More Information] | |
#### Who are the source language producers? | |
[Needs More Information] | |
### Annotations | |
#### Annotation process | |
[Needs More Information] | |
#### Who are the annotators? | |
[Needs More Information] | |
### Personal and Sensitive Information | |
[Needs More Information] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[Needs More Information] | |
### Discussion of Biases | |
[Needs More Information] | |
### Other Known Limitations | |
[Needs More Information] | |
## Additional Information | |
### Dataset Curators | |
[Needs More Information] | |
### Licensing Information | |
[Needs More Information] | |
### Citation Information | |
``` | |
@article{DBLP:journals/corr/abs-1912-09723, | |
author = {Pavel Efimov and | |
Leonid Boytsov and | |
Pavel Braslavski}, | |
title = {SberQuAD - Russian Reading Comprehension Dataset: Description and | |
Analysis}, | |
journal = {CoRR}, | |
volume = {abs/1912.09723}, | |
year = {2019}, | |
url = {http://arxiv.org/abs/1912.09723}, | |
eprinttype = {arXiv}, | |
eprint = {1912.09723}, | |
timestamp = {Fri, 03 Jan 2020 16:10:45 +0100}, | |
biburl = {https://dblp.org/rec/journals/corr/abs-1912-09723.bib}, | |
bibsource = {dblp computer science bibliography, https://dblp.org} | |
} | |
``` | |
### Contributions | |
Thanks to [@alenusch](https://github.com/Alenush) for adding this dataset. |