hamishivi/ROCStories
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---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
size_categories:
- 10K<n<100K
---
# ROCStories (prompt / continuation)
A reformatted version of the [ROCStories](https://cs.rochester.edu/nlp/rocstories/)
corpus, suitable for open-ended story-generation exercises.
Each example is a 5-sentence ROCStory, split into:
| field | description |
|---------------|------------------------------------------------------|
| `prompt` | the first sentence of the story |
| `continuation`| the remaining four sentences |
| `text` | the full (unmodified) 5-sentence story |
## Splits
| split | rows |
|--------------|---------|
| `train` | 70,676 |
| `validation` | 7,852 |
| `test` | 19,633 |
The `train` / `validation` split is a 90/10 shuffle (seed = 42) of the train
split from [mintujupally/ROCStories](https://huggingface.co/datasets/mintujupally/ROCStories);
`test` is mintujupally's test split unchanged.
## Provenance
This dataset was reconstructed to replace
`Ximing/ROCStories`, which is no longer available on the Hub, as the data
source for the CSED503 / CSE447 Natural Language Generation assignment.
The underlying stories come from the ROC Stories 2016 and 2017 releases
(Mostafazadeh et al.). Please cite the original corpus when using this data:
```
@inproceedings{mostafazadeh2016corpus,
title = {A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories},
author = {Mostafazadeh, Nasrin and Chambers, Nathanael and He, Xiaodong and Parikh, Devi and Batra, Dhruv and Vanderwende, Lucy and Kohli, Pushmeet and Allen, James},
booktitle = {Proceedings of NAACL-HLT},
year = {2016}
}
```
许可证:知识共享署名4.0(CC BY 4.0)
task_categories:
- 文本生成(text-generation)
language:
- 英语(en)
size_categories:
- 10K<n<100K
# ROCStories(提示语/续写文本)
本数据集为[ROCStories](https://cs.rochester.edu/nlp/rocstories/)语料库的重格式化版本,适用于开放式故事生成任务练习。
每个样本均为包含5个句子的ROCStories故事,拆分为以下字段:
| 字段名 | 描述说明 |
|---------------|------------------------------------------------------|
| `提示语(prompt)` | 故事的第一句话 |
| `续写文本(continuation)`| 故事剩余的四个句子 |
| `完整文本(text)` | 完整未修改的5句故事原文 |
## 数据集划分
| 拆分集 | 样本量 |
|--------------|---------|
| `训练集(train)` | 70,676 |
| `验证集(validation)` | 7,852 |
| `测试集(test)` | 19,633 |
本数据集的训练集与验证集由[mintujupally/ROCStories](https://huggingface.co/datasets/mintujupally/ROCStories)的原训练集以90:10的比例随机洗牌划分(随机种子设为42)得到;测试集则直接沿用mintujupally/ROCStories的原始测试集,未做任何修改。
## 数据集溯源
本数据集为重构版本,用于替代已从Hugging Face Hub下架的`Ximing/ROCStories`,作为CSED503与CSE447自然语言生成课程作业的数据源。
本数据集的核心故事源自ROC Stories 2016与2017版本(Mostafazadeh等人)。使用该数据集时,请引用原始语料库的相关文献:
@inproceedings{mostafazadeh2016corpus,
title = {A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories},
author = {Mostafazadeh, Nasrin and Chambers, Nathanael and He, Xiaodong and Parikh, Devi and Batra, Dhruv and Vanderwende, Lucy and Kohli, Pushmeet, Allen, James},
booktitle = {Proceedings of NAACL-HLT},
year = {2016}
}
提供机构:
hamishivi


