Datasets:

Modalities:
Text
Video
Languages:
English
Size:
< 1K
Libraries:
Datasets
License:
angelicalim commited on
Commit
75b117e
·
verified ·
1 Parent(s): d6a31be

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +90 -48
README.md CHANGED
@@ -24,17 +24,27 @@ Collected in a controlled studio using a 20-camera Vicon system at 120fps, the d
24
 
25
  ## Dataset Details
26
 
27
- | Pair | Proficiency | Public Annotations |
28
- |----------|--------------|-------------------|
29
- | Pair 1 | Beginner | 100% |
30
- | Pair 2 | Intermediate | 100% |
31
- | Pair 3 | Beginner | 100% |
32
- | Pair 4 | Intermediate | 100% |
33
- | Pair 5 | Professional | 50% |
34
- | Pair 6 | Intermediate | - |
35
- | Pair 7 | Professional | - |
36
- | Pair 8 | Beginner | - |
37
- | Pair 9 | Professional | - |
 
 
 
 
 
 
 
 
 
 
38
 
39
  ### Dataset Description
40
 
@@ -56,105 +66,137 @@ Collected in a controlled studio using a 20-camera Vicon system at 120fps, the d
56
 
57
  <!-- Address questions around how the dataset is intended to be used. -->
58
 
59
- This dataset was created to encourage research in socially interactive embodied AI and creative, expressive humanoid motion generation. As salsa contains a move vocabulary and implict grammar rules, we propose tasks that mirror those in spoken language processing:
 
60
 
61
- - Solo Motion Segmentation, Classification, Transcription (Automatic Speech Recognition)
62
- - Solo Motion Generation (Speech Synthesis)
63
- - Follower Motion Generation (Listener Speech Synthesis)
64
- - Pair Motion Generation and Analysis (Conversation Synthesis)
65
- - Style Transfer (Proficiency Adaptation)
66
 
67
  ### Direct Use
68
 
69
  <!-- This section describes suitable use cases for the dataset. -->
 
70
 
71
- [More Information Needed]
72
-
73
- ### Out-of-Scope Use
74
-
75
- <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
76
 
77
- ## Dataset Structure
78
 
79
- <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
80
 
81
- [More Information Needed]
82
 
83
  ## Dataset Creation
84
 
85
  ### Curation Rationale
86
 
87
  <!-- Motivation for the creation of this dataset. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Source Data
92
-
93
- <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
94
 
95
  #### Data Collection and Processing
96
 
97
  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
98
 
99
- [More Information Needed]
 
 
100
 
101
  #### Who are the source data producers?
102
 
103
  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
104
 
105
- [More Information Needed]
106
-
107
- ### Annotations [optional]
108
-
109
- <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
110
 
111
  #### Annotation process
112
 
113
  <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
114
 
115
- [More Information Needed]
 
116
 
117
  #### Who are the annotators?
118
 
119
  <!-- This section describes the people or systems who created the annotations. -->
120
-
121
- [More Information Needed]
122
 
123
  #### Personal and Sensitive Information
124
 
125
  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
126
 
127
- [More Information Needed]
128
 
129
  ## Bias, Risks, and Limitations
130
 
131
  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
132
 
133
- [More Information Needed]
134
 
135
  ### Recommendations
136
 
137
  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
138
 
139
- Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
140
 
141
- ## Citation [optional]
142
 
143
  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
144
 
145
  **BibTeX:**
146
 
147
- [More Information Needed]
148
 
149
  **APA:**
150
 
151
- [More Information Needed]
152
 
153
- ## Glossary [optional]
154
 
155
  <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
156
 
157
- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
158
 
159
  ## More Information [optional]
160
 
 
24
 
25
  ## Dataset Details
26
 
27
+ This dataset contains motion capture of improvised salsa dance by 18 individuals forming 9 pairs. The dances were improvised to 4 songs, with 2 takes recorded per song.
28
+
29
+ | Pair | Proficiency | Public Annotations | Validation | Test |
30
+ |----------|--------------|--------------------|----------------|-------------|
31
+ | Pair 1 | Beginner | 100% | Song2_Take2 | Song1_Take1 |
32
+ | Pair 2 | Intermediate | 100% | Song3_Take1 | Song1_Take2 |
33
+ | Pair 3 | Beginner | 100% | n/a | Song2_Take1 |
34
+ | Pair 4 | Intermediate | 100% | n/a | Song2_Take2 |
35
+ | Pair 5 | Professional | 50% | Song1_Take1 | Song3_Take1 |
36
+ | Pair 6 | Intermediate | n/a | n/a | Song3_Take2 |
37
+ | Pair 7 | Professional | n/a | n/a | Song4_Take1 |
38
+ | Pair 8 | Beginner | n/a | n/a | Song4_Take2 |
39
+ | Pair 9 | Professional | n/a | n/a | Song1_Take1 |
40
+
41
+
42
+ | Song | Artist | Title | Tempo (BPM) |
43
+ |----------|----------------------------------|---------------------|-------------|
44
+ | Song 1 | Tito Rojas | Lo que te queda | 90 |
45
+ | Song 2 | Louie Ramirez, Ray de La Paz | Lluvia | 105 |
46
+ | Song 3 | Leoni Torres | Idilio | 95 |
47
+ | Song 4 | Johnny Ventura | Dilema | 93 |
48
 
49
  ### Dataset Description
50
 
 
66
 
67
  <!-- Address questions around how the dataset is intended to be used. -->
68
 
69
+ This dataset was created to encourage research in socially interactive embodied AI and creative, expressive humanoid motion generation.
70
+ As salsa contains a move vocabulary and implict grammar rules, we propose tasks that mirror those in *spoken language processing*:
71
 
72
+ - Solo Motion Segmentation, Classification, Transcription (*Automatic Speech Recognition*)
73
+ - Solo Motion Generation (*Speech Synthesis*)
74
+ - Follower Motion Generation (*Listener Speech Synthesis*)
75
+ - Pair Motion Generation and Analysis (*Conversation Synthesis*)
76
+ - Style Transfer (*Proficiency Adaptation*)
77
 
78
  ### Direct Use
79
 
80
  <!-- This section describes suitable use cases for the dataset. -->
81
+ A long term goal is to develop salsa dancing humanoids that can safely and creatively dance with each other and with real humans, adapting to their partner's proficiency, using haptic signaling as a primary form of communication.
82
 
83
+ <!--### Out-of-Scope Use
 
 
 
 
84
 
85
+ This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
86
 
87
+ <!--## Dataset Structure
88
 
89
+ This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
90
 
91
  ## Dataset Creation
92
 
93
  ### Curation Rationale
94
 
95
  <!-- Motivation for the creation of this dataset. -->
96
+ Salsa is “arguably the world’s most popular partnered social dance form" and offers a challenging testbed for humanoid embodied interaction algorithms.
97
+ Communication between the leader and follower is almost entirely haptic, signaled by subtle pushes and pulls.
 
 
 
 
98
 
99
  #### Data Collection and Processing
100
 
101
  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
102
 
103
+ The data was recorded using a Vicon Motion Capture System, comprising 20 Vero MoCap cameras recording at 120 FPS within a capture volume of approximately 72 cubic meters.
104
+ Participants wore Vicon motion capture suits equipped with 53 reflective markers using Vicon's "FrontWaist" configuration. The resulting .c3d files were converted using MOSH into SMPL-X (.npz files).
105
+ Using witness camera recordings, the resulting SMPL-X renderings were synchronized with the audio tracks (.mp4 files)
106
 
107
  #### Who are the source data producers?
108
 
109
  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
110
 
111
+ Participants were recruited from a university salsa dance club as well as a professional Latin dance school. Skill levels were defined by dance experience: beginners (3-6 months), intermediates (1-3 years), and professionals (over 4 years).
 
 
 
 
112
 
113
  #### Annotation process
114
 
115
  <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
116
 
117
+ The annotations were completed using ELAN. Segmentation involved marking the start and end frames of each 8-count dance sequence, typically corresponding to a complete dance move, based solely on the musical rhythm.
118
+ Annotation was done using 4 annotation tracks: paired move labels, individual dancer move and styling annotations, and error classification.
119
 
120
  #### Who are the annotators?
121
 
122
  <!-- This section describes the people or systems who created the annotations. -->
123
+ The annotator was a salsa expert with 15 years of salsa dance experience and competitive judging experience.
 
124
 
125
  #### Personal and Sensitive Information
126
 
127
  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
128
 
129
+ The dataset does not contain personally identifiable data. However, the SMPL-X meshes provide estimates of body shape and sex.
130
 
131
  ## Bias, Risks, and Limitations
132
 
133
  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
134
 
135
+ This dataset contains LA-style salsa dance, one of the most popular variants of salsa. Other variants exist, such as New York style and Cuban style salsa. Contact information was generated using post-processing of mesh intersections after 1-cm mesh inflations and do not reflect touch recorded from raw sensors.
136
 
137
  ### Recommendations
138
 
139
  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
140
 
141
+ When using this dataset for salsa dance generation or move recognition, users should consider the variant of salsa, similar to considering varied dialects or accents in English or other natural languages.
142
 
143
+ ## Citation
144
 
145
  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
146
 
147
  **BibTeX:**
148
 
149
+ Coming soon!
150
 
151
  **APA:**
152
 
153
+ Coming soon!
154
 
155
+ ## Glossary of Moves, Styling, and Errors
156
 
157
  <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
158
 
159
+
160
+ | **Name** | **Category** | **Detailed Description** |
161
+ |---------------------------|--------------|---------------------------|
162
+ | Arm lock | Move | A locking arm movement often used to create tension or highlight transitions. |
163
+ | Basic step | Move | Fundamental salsa step with variations including side, cross-back, and back basic steps. |
164
+ | Body shake | Move | A rapid shaking movement emphasizing torso dynamics. |
165
+ | Body roll | Move | A fluid, wave-like motion passing through the body. |
166
+ | Change of Directions | Move | Transition step involving directional changes, including position swaps. |
167
+ | Check | Move | A checking step used to halt or redirect movement. |
168
+ | Comb | Move | A styling-influenced move where the hand is combed over the head. |
169
+ | Copa | Move | A pivoting movement redirecting the follower after a forward step. |
170
+ | Dile que no | Move | A foundational Cuban salsa move, translating to "tell her no." |
171
+ | Hand throw | Move | A dramatic throwing motion of one or both hands. |
172
+ | Right turn | Move | A clockwise rotational turn performed by the dancer. |
173
+ | Drawing circle | Move | Circular motion with hands or body to accentuate movement. |
174
+ | Enchufla | Move | Cuban salsa turn pattern where partners switch places. |
175
+ | Walks around | Move | Continuous walking around a partner, often in a circular path. |
176
+ | Suzy Q | Move | Classic salsa footwork emphasizing rhythm and flair. |
177
+ | Hip movement | Move | Emphasized hip motion often synchronized with the rhythm. |
178
+ | Kicks | Move | Kicking action integrated within footwork patterns. |
179
+ | Lasso | Move | Overhead arm motion resembling lassoing. |
180
+ | Natural top | Move | Continuous circular motion performed with a partner. |
181
+ | Left turn | Move | A counterclockwise turn executed by the dancer. |
182
+ | Mambo | Move | Latin dance step characterized by forward and backward movements. |
183
+ | Open break | Move | A breaking step where partners create distance. |
184
+ | Point | Move | Pointing gesture typically with feet or hands. |
185
+ | Sliding | Move | Smooth gliding motion across the floor. |
186
+ | Standing | Move | Stationary stance often used for resets or transitions. |
187
+ | Steps | Move | General term for footwork elements. |
188
+ | Swing | Move | Rhythmic swinging motion involving torso or arms. |
189
+ | Walk | Move | Basic locomotion step in any direction. |
190
+ | XBL (Cross Body Lead) | Move | Core salsa move where the follower is led across the leader. |
191
+ | Indescribable | Move | Complex or ambiguous movements not fitting other categories. |
192
+ | Markers Swap issue | Move | Technical artifact caused by marker misalignment. |
193
+ | Lady styling | Styling | Feminine aesthetic enhancements involving hands, hips, and posture. |
194
+ | Man styling | Styling | Masculine aesthetic embellishments emphasizing strength and rhythm. |
195
+ | Misinterpreted signal | Error | Occurs when the follower misunderstands the leader's cue. |
196
+ | Misstep | Error | Incorrect foot placement deviating from the intended movement. |
197
+ | Mixed signals | Error | Conflicting cues from the leader resulting in follower confusion. |
198
+ | Off beat | Error | Deviation from the musical rhythm during execution. |
199
+
200
 
201
  ## More Information [optional]
202