Datasets:
Tasks:
Multiple Choice
Sub-tasks:
multiple-choice-coreference-resolution
Languages:
English
Size:
n<1K
ArXiv:
License:
Commit ·
cdb2890
1
Parent(s): d2448cb
Fix missing tags in dataset cards (#4891)
Browse filesCommit from https://github.com/huggingface/datasets/commit/9d800051052660a723fe12538afb388b64b9ca50
README.md
CHANGED
|
@@ -1,8 +1,24 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
language:
|
| 3 |
- en
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
paperswithcode_id: null
|
| 5 |
-
pretty_name: The modified Winograd Schema Challenge (MWSC)
|
| 6 |
---
|
| 7 |
|
| 8 |
# Dataset Card for The modified Winograd Schema Challenge (MWSC)
|
|
@@ -34,9 +50,9 @@ pretty_name: The modified Winograd Schema Challenge (MWSC)
|
|
| 34 |
## Dataset Description
|
| 35 |
|
| 36 |
- **Homepage:** [http://decanlp.com](http://decanlp.com)
|
| 37 |
-
- **Repository:**
|
| 38 |
-
- **Paper:** [
|
| 39 |
-
- **Point of Contact:** [
|
| 40 |
- **Size of downloaded dataset files:** 0.02 MB
|
| 41 |
- **Size of the generated dataset:** 0.04 MB
|
| 42 |
- **Total amount of disk used:** 0.06 MB
|
|
@@ -44,7 +60,7 @@ pretty_name: The modified Winograd Schema Challenge (MWSC)
|
|
| 44 |
### Dataset Summary
|
| 45 |
|
| 46 |
Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.
|
| 47 |
-
This
|
| 48 |
|
| 49 |
### Supported Tasks and Leaderboards
|
| 50 |
|
|
@@ -64,13 +80,13 @@ This modified Winograd Schema Challenge (MWSC) ensures that scores are neither i
|
|
| 64 |
- **Size of the generated dataset:** 0.04 MB
|
| 65 |
- **Total amount of disk used:** 0.06 MB
|
| 66 |
|
| 67 |
-
An example
|
| 68 |
```
|
| 69 |
{
|
| 70 |
-
"
|
| 71 |
-
"
|
| 72 |
-
"
|
| 73 |
-
"
|
| 74 |
}
|
| 75 |
```
|
| 76 |
|
|
@@ -142,10 +158,16 @@ The data fields are the same among all splits.
|
|
| 142 |
|
| 143 |
### Licensing Information
|
| 144 |
|
| 145 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 146 |
|
| 147 |
### Citation Information
|
| 148 |
|
|
|
|
| 149 |
```
|
| 150 |
@article{McCann2018decaNLP,
|
| 151 |
title={The Natural Language Decathlon: Multitask Learning as Question Answering},
|
|
@@ -153,7 +175,6 @@ The data fields are the same among all splits.
|
|
| 153 |
journal={arXiv preprint arXiv:1806.08730},
|
| 154 |
year={2018}
|
| 155 |
}
|
| 156 |
-
|
| 157 |
```
|
| 158 |
|
| 159 |
|
|
|
|
| 1 |
---
|
| 2 |
+
annotations_creators:
|
| 3 |
+
- expert-generated
|
| 4 |
language:
|
| 5 |
- en
|
| 6 |
+
language_creators:
|
| 7 |
+
- expert-generated
|
| 8 |
+
license:
|
| 9 |
+
- cc-by-4.0
|
| 10 |
+
multilinguality:
|
| 11 |
+
- monolingual
|
| 12 |
+
pretty_name: Modified Winograd Schema Challenge (MWSC)
|
| 13 |
+
size_categories:
|
| 14 |
+
- n<1K
|
| 15 |
+
source_datasets:
|
| 16 |
+
- extended|winograd_wsc
|
| 17 |
+
task_categories:
|
| 18 |
+
- multiple-choice
|
| 19 |
+
task_ids:
|
| 20 |
+
- multiple-choice-coreference-resolution
|
| 21 |
paperswithcode_id: null
|
|
|
|
| 22 |
---
|
| 23 |
|
| 24 |
# Dataset Card for The modified Winograd Schema Challenge (MWSC)
|
|
|
|
| 50 |
## Dataset Description
|
| 51 |
|
| 52 |
- **Homepage:** [http://decanlp.com](http://decanlp.com)
|
| 53 |
+
- **Repository:** https://github.com/salesforce/decaNLP
|
| 54 |
+
- **Paper:** [The Natural Language Decathlon: Multitask Learning as Question Answering](https://arxiv.org/abs/1806.08730)
|
| 55 |
+
- **Point of Contact:** [Bryan McCann](mailto:bmccann@salesforce.com), [Nitish Shirish Keskar](mailto:nkeskar@salesforce.com)
|
| 56 |
- **Size of downloaded dataset files:** 0.02 MB
|
| 57 |
- **Size of the generated dataset:** 0.04 MB
|
| 58 |
- **Total amount of disk used:** 0.06 MB
|
|
|
|
| 60 |
### Dataset Summary
|
| 61 |
|
| 62 |
Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.
|
| 63 |
+
This Modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.
|
| 64 |
|
| 65 |
### Supported Tasks and Leaderboards
|
| 66 |
|
|
|
|
| 80 |
- **Size of the generated dataset:** 0.04 MB
|
| 81 |
- **Total amount of disk used:** 0.06 MB
|
| 82 |
|
| 83 |
+
An example looks as follows:
|
| 84 |
```
|
| 85 |
{
|
| 86 |
+
"sentence": "The city councilmen refused the demonstrators a permit because they feared violence.",
|
| 87 |
+
"question": "Who feared violence?",
|
| 88 |
+
"options": [ "councilmen", "demonstrators" ],
|
| 89 |
+
"answer": "councilmen"
|
| 90 |
}
|
| 91 |
```
|
| 92 |
|
|
|
|
| 158 |
|
| 159 |
### Licensing Information
|
| 160 |
|
| 161 |
+
Our code for running decaNLP has been open sourced under BSD-3-Clause.
|
| 162 |
+
|
| 163 |
+
We chose to restrict decaNLP to datasets that were free and publicly accessible for research, but you should check their individual terms if you deviate from this use case.
|
| 164 |
+
|
| 165 |
+
From the [Winograd Schema Challenge](https://cs.nyu.edu/~davise/papers/WinogradSchemas/WS.html):
|
| 166 |
+
> Both versions of the collections are licenced under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).
|
| 167 |
|
| 168 |
### Citation Information
|
| 169 |
|
| 170 |
+
If you use this in your work, please cite:
|
| 171 |
```
|
| 172 |
@article{McCann2018decaNLP,
|
| 173 |
title={The Natural Language Decathlon: Multitask Learning as Question Answering},
|
|
|
|
| 175 |
journal={arXiv preprint arXiv:1806.08730},
|
| 176 |
year={2018}
|
| 177 |
}
|
|
|
|
| 178 |
```
|
| 179 |
|
| 180 |
|