rw-r-r-0644/assignment-2

---
license: cc-by-2.0
task_categories:
- fill-mask
- text-classification
- text2text-generation
language:
- en
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: "train.jsonl"
- split: validation
path: "validation.jsonl"
- split: test
path: "test.jsonl"
---
# assignment-2
Dataset for the second assignment of the Deep Learning course at my university.
The dataset appears to be based on the [WinoGrande](https://winogrande.allenai.org) train_xl set (for the original training.jsonl) and dev/validation set (for test.jsonl).
The provided training set has been randomly split into training (85%) and validation (15%) sets.

### Citation Information
```
@InProceedings{ai2:winogrande,
title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
},
year={2019}
}

```

### Credits
Credits to allenai and the authors of the WinoGrande dataset.
The original dataset repository can be found on [github](https://github.com/allenai/winogrande).

原始信息汇总

数据集概述

许可证

• 该数据集遵循cc-by-2.0许可证。

任务类别

• 该数据集支持以下任务类别：
  • 填空（fill-mask）
  • 文本分类（text-classification）
  • 文本生成（text2text-generation）

语言

• 该数据集主要包含英语（en）数据。

数据规模

• 数据集规模介于10K到100K之间。

配置

• 默认配置（config_name: default）包含以下数据文件：
  • 训练集（split: train）：train.jsonl
  • 验证集（split: validation）：validation.jsonl
  • 测试集（split: test）：test.jsonl

引用信息

@InProceedings{ai2:winogrande, title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi }, year={2019} }