Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
system HF staff commited on
Commit
85584e5
0 Parent(s):

Update files from the datasets library (from 1.16.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.16.0

Files changed (5) hide show
  1. .gitattributes +27 -0
  2. README.md +177 -0
  3. dataset_infos.json +1 -0
  4. dummy/0.1.0/dummy_data.zip +3 -0
  5. riddle_sense.py +126 -0
.gitattributes ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *.7z filter=lfs diff=lfs merge=lfs -text
2
+ *.arrow filter=lfs diff=lfs merge=lfs -text
3
+ *.bin filter=lfs diff=lfs merge=lfs -text
4
+ *.bin.* filter=lfs diff=lfs merge=lfs -text
5
+ *.bz2 filter=lfs diff=lfs merge=lfs -text
6
+ *.ftz filter=lfs diff=lfs merge=lfs -text
7
+ *.gz filter=lfs diff=lfs merge=lfs -text
8
+ *.h5 filter=lfs diff=lfs merge=lfs -text
9
+ *.joblib filter=lfs diff=lfs merge=lfs -text
10
+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
11
+ *.model filter=lfs diff=lfs merge=lfs -text
12
+ *.msgpack filter=lfs diff=lfs merge=lfs -text
13
+ *.onnx filter=lfs diff=lfs merge=lfs -text
14
+ *.ot filter=lfs diff=lfs merge=lfs -text
15
+ *.parquet filter=lfs diff=lfs merge=lfs -text
16
+ *.pb filter=lfs diff=lfs merge=lfs -text
17
+ *.pt filter=lfs diff=lfs merge=lfs -text
18
+ *.pth filter=lfs diff=lfs merge=lfs -text
19
+ *.rar filter=lfs diff=lfs merge=lfs -text
20
+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
21
+ *.tar.* filter=lfs diff=lfs merge=lfs -text
22
+ *.tflite filter=lfs diff=lfs merge=lfs -text
23
+ *.tgz filter=lfs diff=lfs merge=lfs -text
24
+ *.xz filter=lfs diff=lfs merge=lfs -text
25
+ *.zip filter=lfs diff=lfs merge=lfs -text
26
+ *.zstandard filter=lfs diff=lfs merge=lfs -text
27
+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,177 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - crowdsourced
4
+ language_creators:
5
+ - found
6
+ languages:
7
+ - en
8
+ licenses:
9
+ - other-non-commercial
10
+ multilinguality:
11
+ - monolingual
12
+ pretty_name: RiddleSense
13
+ size_categories:
14
+ - 1K<n<10K
15
+ source_datasets:
16
+ - original
17
+ task_categories:
18
+ - question-answering
19
+ task_ids:
20
+ - multiple-choice-qa
21
+ ---
22
+
23
+ # Dataset Card for RiddleSense
24
+
25
+ ## Table of Contents
26
+ - [Dataset Description](#dataset-description)
27
+ - [Dataset Summary](#dataset-summary)
28
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
29
+ - [Languages](#languages)
30
+ - [Dataset Structure](#dataset-structure)
31
+ - [Data Instances](#data-instances)
32
+ - [Data Fields](#data-instances)
33
+ - [Data Splits](#data-instances)
34
+ - [Dataset Creation](#dataset-creation)
35
+ - [Curation Rationale](#curation-rationale)
36
+ - [Source Data](#source-data)
37
+ - [Annotations](#annotations)
38
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
39
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
40
+ - [Social Impact of Dataset](#social-impact-of-dataset)
41
+ - [Discussion of Biases](#discussion-of-biases)
42
+ - [Other Known Limitations](#other-known-limitations)
43
+ - [Additional Information](#additional-information)
44
+ - [Dataset Curators](#dataset-curators)
45
+ - [Licensing Information](#licensing-information)
46
+ - [Citation Information](#citation-information)
47
+
48
+ ## Dataset Description
49
+
50
+ - **Homepage:** https://inklab.usc.edu/RiddleSense/
51
+ - **Repository:** https://github.com/INK-USC/RiddleSense/
52
+ - **Paper:** https://inklab.usc.edu/RiddleSense/riddlesense_acl21_paper.pdf
53
+ - **Leaderboard:** https://inklab.usc.edu/RiddleSense/#leaderboard
54
+ - **Point of Contact:** [Yuchen Lin](yuchen.lin@usc.edu)
55
+
56
+ ### Dataset Summary
57
+
58
+ Answering such a riddle-style question is a challenging cognitive process, in that it requires
59
+ complex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning
60
+ skills, which are all important abilities for advanced natural language understanding (NLU). However,
61
+ there is currently no dedicated datasets aiming to test these abilities. Herein, we present RiddleSense,
62
+ a new multiple-choice question answering task, which comes with the first large dataset (5.7k examples) for answering
63
+ riddle-style commonsense questions. We systematically evaluate a wide range of models over the challenge,
64
+ and point out that there is a large gap between the best-supervised model and human performance  suggesting
65
+ intriguing future research in the direction of higher-order commonsense reasoning and linguistic creativity towards
66
+ building advanced NLU systems.
67
+
68
+ ### Supported Tasks and Leaderboards
69
+
70
+ [Needs More Information]
71
+
72
+ ### Languages
73
+
74
+ English
75
+
76
+ ## Dataset Structure
77
+
78
+ ### Data Instances
79
+
80
+ An example of 'train' looks as follows.
81
+ ```
82
+ {
83
+ "answerKey": "E",
84
+ "choices": {
85
+ "label": ["A", "B", "C", "D", "E"],
86
+ "text": ["throw", "bit", "gallow", "mouse", "hole"]
87
+ },
88
+ "question": "A man is incarcerated in prison, and as his punishment he has to carry a one tonne bag of sand backwards and forwards across a field the size of a football pitch. What is the one thing he can put in it to make it lighter?"
89
+ }
90
+ ```
91
+
92
+ ### Data Fields
93
+
94
+ Data Fields
95
+ The data fields are the same among all splits.
96
+
97
+ default
98
+ - `answerKey`: a string feature.
99
+ - `question`: a string feature.
100
+ - `choices`: a dictionary feature containing:
101
+ - `label`: a string feature.
102
+ - `text`: a string feature.
103
+
104
+ ### Data Splits
105
+
106
+ |name| train| validation| test|
107
+ |---|---|---|---|
108
+ |default| 3510| 1021| 1184|
109
+
110
+ ## Dataset Creation
111
+
112
+ ### Curation Rationale
113
+
114
+ [Needs More Information]
115
+
116
+ ### Source Data
117
+
118
+ #### Initial Data Collection and Normalization
119
+
120
+ [Needs More Information]
121
+
122
+ #### Who are the source language producers?
123
+
124
+ [Needs More Information]
125
+
126
+ ### Annotations
127
+
128
+ #### Annotation process
129
+
130
+ [Needs More Information]
131
+
132
+ #### Who are the annotators?
133
+
134
+ [Needs More Information]
135
+
136
+ ### Personal and Sensitive Information
137
+
138
+ [Needs More Information]
139
+
140
+ ## Considerations for Using the Data
141
+
142
+ ### Social Impact of Dataset
143
+
144
+ [Needs More Information]
145
+
146
+ ### Discussion of Biases
147
+
148
+ [Needs More Information]
149
+
150
+ ### Other Known Limitations
151
+
152
+ [Needs More Information]
153
+
154
+ ## Additional Information
155
+
156
+ ### Dataset Curators
157
+
158
+ [Needs More Information]
159
+
160
+ ### Licensing Information
161
+
162
+ The copyright of RiddleSense dataset is consistent with the terms of use of the fan websites and the intellectual property and privacy rights of the original sources. All of our riddles and answers are from fan websites that can be accessed freely. The website owners state that you may print and download material from the sites solely for non-commercial use provided that we agree not to change or delete any copyright or proprietary notices from the materials. The dataset users must agree that they will only use the dataset for research purposes before they can access the both the riddles and our annotations. We do not vouch for the potential bias or fairness issue that might exist within the riddles. You do not have the right to redistribute them. Again, you must not use this dataset for any commercial purposes.
163
+
164
+ ### Citation Information
165
+
166
+ ```
167
+ @InProceedings{lin-etal-2021-riddlesense,
168
+ title={RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge},
169
+ author={Lin, Bill Yuchen and Wu, Ziyi and Yang, Yichi and Lee, Dong-Ho and Ren, Xiang},
170
+ journal={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL-IJCNLP 2021): Findings},
171
+ year={2021}
172
+ }
173
+ ```
174
+
175
+ ### Contributions
176
+
177
+ Thanks to [@ziyiwu9494](https://github.com/ziyiwu9494) for adding this dataset.
dataset_infos.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default": {"description": "Answering such a riddle-style question is a challenging cognitive process, in that it requires \ncomplex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning \nskills, which are all important abilities for advanced natural language understanding (NLU). However, \nthere is currently no dedicated datasets aiming to test these abilities. Herein, we present RiddleSense, \na new multiple-choice question answering task, which comes with the first large dataset (5.7k examples) for answering \nriddle-style commonsense questions. We systematically evaluate a wide range of models over the challenge, \nand point out that there is a large gap between the best-supervised model and human performance \u2014 suggesting \nintriguing future research in the direction of higher-order commonsense reasoning and linguistic creativity towards \nbuilding advanced NLU systems. \n\n", "citation": "@InProceedings{lin-etal-2021-riddlesense,\ntitle={RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge},\nauthor={Lin, Bill Yuchen and Wu, Ziyi and Yang, Yichi and Lee, Dong-Ho and Ren, Xiang},\njournal={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL-IJCNLP 2021): Findings},\nyear={2021}\n\n", "homepage": "https://inklab.usc.edu/RiddleSense/", "license": "", "features": {"answerKey": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "riddle_sense", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 720715, "num_examples": 3510, "dataset_name": "riddle_sense"}, "validation": {"name": "validation", "num_bytes": 208276, "num_examples": 1021, "dataset_name": "riddle_sense"}, "test": {"name": "test", "num_bytes": 212790, "num_examples": 1184, "dataset_name": "riddle_sense"}}, "download_checksums": {"https://inklab.usc.edu/RiddleSense/riddlesense_dataset/rs_train.jsonl": {"num_bytes": 1293825, "checksum": "d82423612b706aace65f2ee5f1f0f2b71e2f6ea27102a74864a2f9dfada2fe1f"}, "https://inklab.usc.edu/RiddleSense/riddlesense_dataset/rs_dev.jsonl": {"num_bytes": 375327, "checksum": "6680e5998bdbe65d85b02f620e64c365c52830ee5bfeb4d82c9e2a7cf4675365"}, "https://inklab.usc.edu/RiddleSense/riddlesense_dataset/rs_test_hidden.jsonl": {"num_bytes": 413970, "checksum": "ea83bfeff23fa77da7a922fdb272e7c7bc8ec628d4e54b3eb463c93bcfee60cf"}}, "download_size": 2083122, "post_processing_size": null, "dataset_size": 1141781, "size_in_bytes": 3224903}}
dummy/0.1.0/dummy_data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:902fac8bcdcc41f53b37da2be2ed8abf058cf66ffc099e8f41886cf360aab215
3
+ size 2342
riddle_sense.py ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+
3
+ import datasets
4
+
5
+
6
+ _CITATION = """\
7
+ @InProceedings{lin-etal-2021-riddlesense,
8
+ title={RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge},
9
+ author={Lin, Bill Yuchen and Wu, Ziyi and Yang, Yichi and Lee, Dong-Ho and Ren, Xiang},
10
+ journal={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL-IJCNLP 2021): Findings},
11
+ year={2021}
12
+ }
13
+ """
14
+
15
+ _DESCRIPTION = """\
16
+ Answering such a riddle-style question is a challenging cognitive process, in that it requires
17
+ complex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning
18
+ skills, which are all important abilities for advanced natural language understanding (NLU). However,
19
+ there is currently no dedicated datasets aiming to test these abilities. Herein, we present RiddleSense,
20
+ a new multiple-choice question answering task, which comes with the first large dataset (5.7k examples) for answering
21
+ riddle-style commonsense questions. We systematically evaluate a wide range of models over the challenge,
22
+ and point out that there is a large gap between the best-supervised model and human performance — suggesting
23
+ intriguing future research in the direction of higher-order commonsense reasoning and linguistic creativity towards
24
+ building advanced NLU systems.
25
+
26
+ """
27
+
28
+ _LICENSE = """\
29
+ The copyright of RiddleSense dataset is consistent with the terms of use of the fan websites and the intellectual
30
+ property and privacy rights of the original sources. All of our riddles and answers are from fan websites that can be
31
+ accessed freely. The website owners state that you may print and download material from the sites solely for non
32
+ commercial use provided that we agree not to change or delete any copyright or proprietary notices from the
33
+ materials. The dataset users must agree that they will only use the dataset for research purposes before they can
34
+ access the both the riddles and our annotations. We do not vouch for the potential bias or fairness issue that might
35
+ exist within the riddles. You do not have the right to redistribute them. Again, you must not use this dataset for any
36
+ commercial purposes.
37
+ """
38
+
39
+ _URL = "https://inklab.usc.edu/RiddleSense/riddlesense_dataset/"
40
+ _URLS = {
41
+ "train": _URL + "rs_train.jsonl",
42
+ "dev": _URL + "rs_dev.jsonl",
43
+ "test": _URL + "rs_test_hidden.jsonl",
44
+ }
45
+
46
+
47
+ class RiddleSense(datasets.GeneratorBasedBuilder):
48
+
49
+ VERSION = datasets.Version("0.1.0")
50
+
51
+ def _info(self):
52
+ # These are the features of your dataset like images, labels ...
53
+ features = datasets.Features(
54
+ {
55
+ "answerKey": datasets.Value("string"),
56
+ "question": datasets.Value("string"),
57
+ "choices": datasets.features.Sequence(
58
+ {
59
+ "label": datasets.Value("string"),
60
+ "text": datasets.Value("string"),
61
+ }
62
+ ),
63
+ }
64
+ )
65
+ return datasets.DatasetInfo(
66
+ # This is the description that will appear on the datasets page.
67
+ description=_DESCRIPTION,
68
+ # datasets.features.FeatureConnectors
69
+ features=features,
70
+ # If there's a common (input, target) tuple from the features,
71
+ # specify them here. They'll be used if as_supervised=True in
72
+ # builder.as_dataset.
73
+ supervised_keys=None,
74
+ # Homepage of the dataset for documentation
75
+ homepage="https://inklab.usc.edu/RiddleSense/",
76
+ citation=_CITATION,
77
+ license=_LICENSE,
78
+ )
79
+
80
+ def _split_generators(self, dl_manager):
81
+ """Returns SplitGenerators."""
82
+
83
+ download_urls = _URLS
84
+
85
+ downloaded_files = dl_manager.download_and_extract(download_urls)
86
+
87
+ return [
88
+ datasets.SplitGenerator(
89
+ name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}
90
+ ),
91
+ datasets.SplitGenerator(
92
+ name=datasets.Split.VALIDATION,
93
+ gen_kwargs={
94
+ "filepath": downloaded_files["dev"],
95
+ "split": "dev",
96
+ },
97
+ ),
98
+ datasets.SplitGenerator(
99
+ name=datasets.Split.TEST,
100
+ gen_kwargs={
101
+ "filepath": downloaded_files["test"],
102
+ "split": "test",
103
+ },
104
+ ),
105
+ ]
106
+
107
+ def _generate_examples(self, filepath, split):
108
+ """Yields examples."""
109
+ with open(filepath, encoding="utf-8") as f:
110
+ for id_, row in enumerate(f):
111
+ data = json.loads(row)
112
+ question = data["question"]
113
+ choices = question["choices"]
114
+ labels = [label["label"] for label in choices]
115
+ texts = [text["text"] for text in choices]
116
+ stem = question["stem"]
117
+ if split == "test":
118
+ answerkey = ""
119
+ else:
120
+ answerkey = data["answerKey"]
121
+
122
+ yield id_, {
123
+ "answerKey": answerkey,
124
+ "question": stem,
125
+ "choices": {"label": labels, "text": texts},
126
+ }