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  1. README.md +189 -0
  2. classes.py +194 -0
  3. something_something_v2.py +150 -0
README.md ADDED
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1
+ ---
2
+ annotations_creators:
3
+ - crowdsourced
4
+ language_creators:
5
+ - crowdsourced
6
+ languages:
7
+ - en
8
+ licenses:
9
+ - other-charades
10
+ multilinguality:
11
+ - monolingual
12
+ paperswithcode_id: something-something
13
+ pretty_name: Something Something v2
14
+ size_categories:
15
+ - 100K<n<1M
16
+ source_datasets:
17
+ - original
18
+ task_categories:
19
+ - other
20
+ task_ids:
21
+ - other
22
+ ---
23
+
24
+ # Dataset Card for Something Something v2
25
+
26
+ ## Table of Contents
27
+ - [Table of Contents](#table-of-contents)
28
+ - [Dataset Description](#dataset-description)
29
+ - [Dataset Summary](#dataset-summary)
30
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
31
+ - [Languages](#languages)
32
+ - [Dataset Structure](#dataset-structure)
33
+ - [Data Instances](#data-instances)
34
+ - [Data Fields](#data-fields)
35
+ - [Data Splits](#data-splits)
36
+ - [Dataset Creation](#dataset-creation)
37
+ - [Curation Rationale](#curation-rationale)
38
+ - [Source Data](#source-data)
39
+ - [Annotations](#annotations)
40
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
41
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
42
+ - [Social Impact of Dataset](#social-impact-of-dataset)
43
+ - [Discussion of Biases](#discussion-of-biases)
44
+ - [Other Known Limitations](#other-known-limitations)
45
+ - [Additional Information](#additional-information)
46
+ - [Dataset Curators](#dataset-curators)
47
+ - [Licensing Information](#licensing-information)
48
+ - [Citation Information](#citation-information)
49
+ - [Contributions](#contributions)
50
+
51
+ ## Dataset Description
52
+
53
+ - **Homepage:** https://prior.allenai.org/projects/charades
54
+ - **Repository:** https://github.com/gsig/charades-algorithms
55
+ - **Paper:** https://arxiv.org/abs/1604.01753
56
+ - **Leaderboard:** https://paperswithcode.com/sota/action-classification-on-charades
57
+ - **Point of Contact:** mailto: vision.amt@allenai.org
58
+
59
+ ### Dataset Summary
60
+
61
+ The Something-Something dataset (version 2) is a collection of 220,847 labeled video clips of humans performing pre-defined, basic actions with everyday objects. It is designed to train machine learning models in fine-grained understanding of human hand gestures like putting something into something, turning something upside down and covering something with something.
62
+
63
+ ### Supported Tasks and Leaderboards
64
+
65
+ - `action-classification`: The goal of this task is to classify actions happening in a video. This is a multilabel classification. The leaderboard is available [here](https://paperswithcode.com/sota/action-classification-on-charades)
66
+
67
+
68
+ ### Languages
69
+
70
+ The annotations in the dataset are in English.
71
+
72
+ ## Dataset Structure
73
+
74
+ ### Data Instances
75
+
76
+ ```
77
+ {
78
+ "video_id": "46GP8",
79
+ "video": "/home/amanpreet_huggingface_co/.cache/huggingface/datasets/downloads/extracted/3f022da5305aaa189f09476dbf7d5e02f6fe12766b927c076707360d00deb44d/46GP8.mp4",
80
+ "subject": "HR43",
81
+ "scene": "Kitchen",
82
+ "quality": 6,
83
+ "relevance": 7,
84
+ "verified": "Yes",
85
+ "script": "A person cooking on a stove while watching something out a window.",
86
+ "objects": ["food", "stove", "window"],
87
+ "descriptions": [
88
+ "A person cooks food on a stove before looking out of a window."
89
+ ],
90
+ "labels": [92, 147],
91
+ "action_timings": [
92
+ [11.899999618530273, 21.200000762939453],
93
+ [0.0, 12.600000381469727]
94
+ ],
95
+ "length": 24.829999923706055
96
+ }
97
+ ```
98
+
99
+ ### Data Fields
100
+
101
+ - `video_id`: `str` Unique identifier for each video.
102
+ - `video`: `str` Path to the video file
103
+ - `subject`: `str` Unique identifier for each subject in the dataset
104
+ - `scene`: `str` One of 15 indoor scenes in the dataset, such as Kitchen
105
+ - `quality`: `int` The quality of the video judged by an annotator (7-point scale, 7=high quality), -100 if missing
106
+ - `relevance`: `int` The relevance of the video to the script judged by an annotated (7-point scale, 7=very relevant), -100 if missing
107
+ - `verified`: `str` 'Yes' if an annotator successfully verified that the video matches the script, else 'No'
108
+ - `script`: `str` The human-generated script used to generate the video
109
+ - `descriptions`: `List[str]` List of descriptions by annotators watching the video
110
+ - `labels`: `List[int]` Multi-label actions found in the video. Indices from 0 to 156.
111
+ - `action_timings`: `List[Tuple[int, int]]` Timing where each of the above actions happened.
112
+ - `length`: `float` The length of the video in seconds
113
+
114
+ <details>
115
+ <summary>
116
+ Click here to see the full list of ImageNet class labels mapping:
117
+ </summary>
118
+
119
+ </details>
120
+
121
+ ### Data Splits
122
+
123
+
124
+ | |train |validation| test |
125
+ |-------------|------:|---------:|------:|
126
+ |# of examples|1281167|50000 |100000 |
127
+
128
+
129
+ ## Dataset Creation
130
+
131
+ ### Curation Rationale
132
+
133
+
134
+
135
+ ### Source Data
136
+
137
+ #### Initial Data Collection and Normalization
138
+
139
+
140
+ #### Who are the source language producers?
141
+
142
+
143
+ ### Annotations
144
+
145
+ #### Annotation process
146
+
147
+
148
+ #### Who are the annotators?
149
+
150
+
151
+ ### Personal and Sensitive Information
152
+
153
+
154
+ ## Considerations for Using the Data
155
+
156
+ ### Social Impact of Dataset
157
+
158
+ [More Information Needed]
159
+
160
+ ### Discussion of Biases
161
+
162
+ [More Information Needed]
163
+
164
+ ### Other Known Limitations
165
+
166
+ [More Information Needed]
167
+
168
+ ## Additional Information
169
+
170
+ ### Dataset Curators
171
+
172
+
173
+ ### Licensing Information
174
+
175
+ ### Citation Information
176
+
177
+ ```bibtex
178
+ @inproceedings{goyal2017something,
179
+ title={The" something something" video database for learning and evaluating visual common sense},
180
+ author={Goyal, Raghav and Ebrahimi Kahou, Samira and Michalski, Vincent and Materzynska, Joanna and Westphal, Susanne and Kim, Heuna and Haenel, Valentin and Fruend, Ingo and Yianilos, Peter and Mueller-Freitag, Moritz and others},
181
+ booktitle={Proceedings of the IEEE international conference on computer vision},
182
+ pages={5842--5850},
183
+ year={2017}
184
+ }
185
+ ```
186
+
187
+ ### Contributions
188
+
189
+ Thanks to [@apsdehal](https://github.com/apsdehal) for adding this dataset.
classes.py ADDED
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1
+ # coding=utf-8
2
+ # Copyright 2022 the HuggingFace Datasets Authors.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+
16
+
17
+ from collections import OrderedDict
18
+
19
+ SOMETHING_SOMETHING_V2_CLASSES = [
20
+ "Approaching something with your camera",
21
+ "Attaching something to something",
22
+ "Bending something so that it deforms",
23
+ "Bending something until it breaks",
24
+ "Burying something in something",
25
+ "Closing something",
26
+ "Covering something with something",
27
+ "Digging something out of something",
28
+ "Dropping something behind something",
29
+ "Dropping something in front of something",
30
+ "Dropping something into something",
31
+ "Dropping something next to something",
32
+ "Dropping something onto something",
33
+ "Failing to put something into something because something does not fit",
34
+ "Folding something",
35
+ "Hitting something with something",
36
+ "Holding something",
37
+ "Holding something behind something",
38
+ "Holding something in front of something",
39
+ "Holding something next to something",
40
+ "Holding something over something",
41
+ "Laying something on the table on its side, not upright",
42
+ "Letting something roll along a flat surface",
43
+ "Letting something roll down a slanted surface",
44
+ "Letting something roll up a slanted surface, so it rolls back down",
45
+ "Lifting a surface with something on it but not enough for it to slide down",
46
+ "Lifting a surface with something on it until it starts sliding down",
47
+ "Lifting something up completely without letting it drop down",
48
+ "Lifting something up completely, then letting it drop down",
49
+ "Lifting something with something on it",
50
+ "Lifting up one end of something without letting it drop down",
51
+ "Lifting up one end of something, then letting it drop down",
52
+ "Moving away from something with your camera",
53
+ "Moving part of something",
54
+ "Moving something across a surface until it falls down",
55
+ "Moving something across a surface without it falling down",
56
+ "Moving something and something away from each other",
57
+ "Moving something and something closer to each other",
58
+ "Moving something and something so they collide with each other",
59
+ "Moving something and something so they pass each other",
60
+ "Moving something away from something",
61
+ "Moving something away from the camera",
62
+ "Moving something closer to something",
63
+ "Moving something down",
64
+ "Moving something towards the camera",
65
+ "Moving something up",
66
+ "Opening something",
67
+ "Picking something up",
68
+ "Piling something up",
69
+ "Plugging something into something",
70
+ "Plugging something into something but pulling it right out as you remove your hand",
71
+ "Poking a hole into some substance",
72
+ "Poking a hole into something soft",
73
+ "Poking a stack of something so the stack collapses",
74
+ "Poking a stack of something without the stack collapsing",
75
+ "Poking something so it slightly moves",
76
+ "Poking something so lightly that it doesn't or almost doesn't move",
77
+ "Poking something so that it falls over",
78
+ "Poking something so that it spins around",
79
+ "Pouring something into something",
80
+ "Pouring something into something until it overflows",
81
+ "Pouring something onto something",
82
+ "Pouring something out of something",
83
+ "Pretending or failing to wipe something off of something",
84
+ "Pretending or trying and failing to twist something",
85
+ "Pretending to be tearing something that is not tearable",
86
+ "Pretending to close something without actually closing it",
87
+ "Pretending to open something without actually opening it",
88
+ "Pretending to pick something up",
89
+ "Pretending to poke something",
90
+ "Pretending to pour something out of something, but something is empty",
91
+ "Pretending to put something behind something",
92
+ "Pretending to put something into something",
93
+ "Pretending to put something next to something",
94
+ "Pretending to put something on a surface",
95
+ "Pretending to put something onto something",
96
+ "Pretending to put something underneath something",
97
+ "Pretending to scoop something up with something",
98
+ "Pretending to spread air onto something",
99
+ "Pretending to sprinkle air onto something",
100
+ "Pretending to squeeze something",
101
+ "Pretending to take something from somewhere",
102
+ "Pretending to take something out of something",
103
+ "Pretending to throw something",
104
+ "Pretending to turn something upside down",
105
+ "Pulling something from behind of something",
106
+ "Pulling something from left to right",
107
+ "Pulling something from right to left",
108
+ "Pulling something onto something",
109
+ "Pulling something out of something",
110
+ "Pulling two ends of something but nothing happens",
111
+ "Pulling two ends of something so that it gets stretched",
112
+ "Pulling two ends of something so that it separates into two pieces",
113
+ "Pushing something from left to right",
114
+ "Pushing something from right to left",
115
+ "Pushing something off of something",
116
+ "Pushing something onto something",
117
+ "Pushing something so it spins",
118
+ "Pushing something so that it almost falls off but doesn't",
119
+ "Pushing something so that it falls off the table",
120
+ "Pushing something so that it slightly moves",
121
+ "Pushing something with something",
122
+ "Putting number of something onto something",
123
+ "Putting something and something on the table",
124
+ "Putting something behind something",
125
+ "Putting something in front of something",
126
+ "Putting something into something",
127
+ "Putting something next to something",
128
+ "Putting something on a flat surface without letting it roll",
129
+ "Putting something on a surface",
130
+ "Putting something on the edge of something so it is not supported and falls down",
131
+ "Putting something onto a slanted surface but it doesn't glide down",
132
+ "Putting something onto something",
133
+ "Putting something onto something else that cannot support it so it falls down",
134
+ "Putting something similar to other things that are already on the table",
135
+ "Putting something that can't roll onto a slanted surface, so it slides down",
136
+ "Putting something that can't roll onto a slanted surface, so it stays where it is",
137
+ "Putting something that cannot actually stand upright upright on the table, so it falls on its side",
138
+ "Putting something underneath something",
139
+ "Putting something upright on the table",
140
+ "Putting something, something and something on the table",
141
+ "Removing something, revealing something behind",
142
+ "Rolling something on a flat surface",
143
+ "Scooping something up with something",
144
+ "Showing a photo of something to the camera",
145
+ "Showing something behind something",
146
+ "Showing something next to something",
147
+ "Showing something on top of something",
148
+ "Showing something to the camera",
149
+ "Showing that something is empty",
150
+ "Showing that something is inside something",
151
+ "Something being deflected from something",
152
+ "Something colliding with something and both are being deflected",
153
+ "Something colliding with something and both come to a halt",
154
+ "Something falling like a feather or paper",
155
+ "Something falling like a rock",
156
+ "Spilling something behind something",
157
+ "Spilling something next to something",
158
+ "Spilling something onto something",
159
+ "Spinning something so it continues spinning",
160
+ "Spinning something that quickly stops spinning",
161
+ "Spreading something onto something",
162
+ "Sprinkling something onto something",
163
+ "Squeezing something",
164
+ "Stacking number of something",
165
+ "Stuffing something into something",
166
+ "Taking one of many similar things on the table",
167
+ "Taking something from somewhere",
168
+ "Taking something out of something",
169
+ "Tearing something into two pieces",
170
+ "Tearing something just a little bit",
171
+ "Throwing something",
172
+ "Throwing something against something",
173
+ "Throwing something in the air and catching it",
174
+ "Throwing something in the air and letting it fall",
175
+ "Throwing something onto a surface",
176
+ "Tilting something with something on it slightly so it doesn't fall down",
177
+ "Tilting something with something on it until it falls off",
178
+ "Tipping something over",
179
+ "Tipping something with something in it over, so something in it falls out",
180
+ "Touching (without moving) part of something",
181
+ "Trying but failing to attach something to something because it doesn't stick",
182
+ "Trying to bend something unbendable so nothing happens",
183
+ "Trying to pour something into something, but missing so it spills next to it",
184
+ "Turning something upside down",
185
+ "Turning the camera downwards while filming something",
186
+ "Turning the camera left while filming something",
187
+ "Turning the camera right while filming something",
188
+ "Turning the camera upwards while filming something",
189
+ "Twisting (wringing) something wet until water comes out",
190
+ "Twisting something",
191
+ "Uncovering something",
192
+ "Unfolding something",
193
+ "Wiping something off of something",
194
+ ]
something_something_v2.py ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+
16
+ # Lint as: python3
17
+ """The Something-Something dataset (version 2) is a collection of 220,847 labeled video clips of humans performing pre-defined, basic actions with everyday objects."""
18
+
19
+
20
+ import csv
21
+ import json
22
+ import os
23
+
24
+ import datasets
25
+
26
+ from .classes import SOMETHING_SOMETHING_V2_CLASSES
27
+
28
+ _CITATION = """
29
+ @inproceedings{goyal2017something,
30
+ title={The" something something" video database for learning and evaluating visual common sense},
31
+ author={Goyal, Raghav and Ebrahimi Kahou, Samira and Michalski, Vincent and Materzynska, Joanna and Westphal, Susanne and Kim, Heuna and Haenel, Valentin and Fruend, Ingo and Yianilos, Peter and Mueller-Freitag, Moritz and others},
32
+ booktitle={Proceedings of the IEEE international conference on computer vision},
33
+ pages={5842--5850},
34
+ year={2017}
35
+ }
36
+ """
37
+
38
+ _DESCRIPTION = """\
39
+ The Something-Something dataset (version 2) is a collection of 220,847 labeled video clips of humans performing pre-defined, basic actions with everyday objects. It is designed to train machine learning models in fine-grained understanding of human hand gestures like putting something into something, turning something upside down and covering something with something.
40
+ """
41
+
42
+
43
+ class SomethingSomethingV2(datasets.GeneratorBasedBuilder):
44
+ """Charades is dataset composed of 9848 videos of daily indoors activities collected through Amazon Mechanical Turk"""
45
+
46
+ BUILDER_CONFIGS = [datasets.BuilderConfig(name="default")]
47
+ DEFAULT_CONFIG_NAME = "default"
48
+
49
+ def _info(self):
50
+ return datasets.DatasetInfo(
51
+ description=_DESCRIPTION,
52
+ features=datasets.Features(
53
+ {
54
+ "video_id": datasets.Value("string"),
55
+ "video": datasets.Value("string"),
56
+ "text": datasets.Value("string"),
57
+ "labels": datasets.features.ClassLabel(
58
+ num_classes=len(SOMETHING_SOMETHING_V2_CLASSES), names=SOMETHING_SOMETHING_V2_CLASSES
59
+ ),
60
+ "objects": datasets.Sequence(datasets.Value("string")),
61
+ }
62
+ ),
63
+ supervised_keys=None,
64
+ homepage="",
65
+ citation=_CITATION,
66
+ )
67
+
68
+ @property
69
+ def manual_download_instructions(self):
70
+ return (
71
+ "To use Something-Something-v2, please download the 19 data files and the labels file "
72
+ "from 'https://developer.qualcomm.com/software/ai-datasets/something-something'. "
73
+ "Unzip the 19 files and concatenate the extracts in order into a tar file named '20bn-something-something-v2.tar.gz. "
74
+ "Use command like `cat 20bn-something-something-v2-?? >> 20bn-something-something-v2.tar.gz` "
75
+ "Place the labels zip file and the tar file into a folder '/path/to/data/' and load the dataset using "
76
+ "`load_dataset('something-something-v2', data_dir='/path/to/data')`"
77
+ )
78
+
79
+ def _split_generators(self, dl_manager, data_dir):
80
+ labels_path = os.path.join(data_dir, "labels.zip")
81
+ videos_path = os.path.join(data_dir, "20bn-something-something-v2.tar.gz")
82
+ if not os.path.exists(labels_path):
83
+ raise FileNotFoundError(f"labels.zip doesn't exist in {data_dir}. Please follow manual download instructions.")
84
+
85
+ if not os.path.exists(videos_path):
86
+ raise FileNotFoundError(f"20bn-something-sokmething-v2.tar.gz doesn't exist in {data_dir}. Please follow manual download instructions.")
87
+
88
+ labels_path = dl_manager.extract(labels_path)
89
+ return [
90
+ datasets.SplitGenerator(
91
+ name=datasets.Split.TRAIN,
92
+ gen_kwargs={
93
+ "annotation_file": os.path.join(labels_path, "train.json"),
94
+ "videos_files": dl_manager.iter_archive(videos_path),
95
+ },
96
+ ),
97
+ datasets.SplitGenerator(
98
+ name=datasets.Split.VALIDATION,
99
+ gen_kwargs={
100
+ "annotation_file": os.path.join(labels_path, "validation.json"),
101
+ "videos_files": dl_manager.iter_archive(videos_path),
102
+ },
103
+ ),
104
+ datasets.SplitGenerator(
105
+ name=datasets.Split.TRAIN,
106
+ gen_kwargs={
107
+ "annotation_file": os.path.join(labels_path, "test.json"),
108
+ "videos_files": dl_manager.iter_archive(videos_path),
109
+ "labels_file": os.path.join(labels_path, "test_labels.csv"),
110
+ },
111
+ ),
112
+ ]
113
+
114
+ def _generate_examples(self, annotation_file, video_files, labels_file=None):
115
+ data = {}
116
+ labels = None
117
+ if labels_file is not None:
118
+ with open(labels_file, "r", encoding="utf-8") as fobj:
119
+ labels = {}
120
+ for label in fobj.readlines():
121
+ label = label.strip().split(";")
122
+ labels[label[0]] = label[1]
123
+
124
+ with open(annotation_file, "r", encoding="utf-8") as fobj:
125
+ annotations = json.load(fobj)
126
+ for annotation in annotations:
127
+ if "template" in annotation:
128
+ annotation["template"] = annotation["template"].replace("[something]", "something")
129
+ if labels:
130
+ annotation["template"] = labels[annotation["id"]]
131
+ data[annotation["id"]] = annotation
132
+
133
+ idx = 0
134
+ for path, file in video_files:
135
+ video_id = os.path.splitext(os.path.split(path)[1])[0]
136
+
137
+ if video_id not in data:
138
+ continue
139
+
140
+ info = data[video_id]
141
+
142
+ yield idx, {
143
+ "video_id": video_id,
144
+ "video": file,
145
+ "objects": info["objects"],
146
+ "label": data["template"],
147
+ "text": data["text"] if "text" in data else -1
148
+ }
149
+
150
+ idx += 1