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Datasets:
arsaporta
/
symile-m3

Tasks:
Zero-Shot Classification
Zero-Shot Image Classification
Modalities:
Audio
Image
Text
Formats:
parquet
Languages:
Arabic
Greek
English
Size:
10M - 100M
ArXiv:
Tags:
multimodal
representation learning
multilingual
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
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  1. README.md +62 -24
  2. symile-m3-5-m/test-00027-of-00073.parquet +3 -0
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README.md CHANGED
@@ -1,27 +1,65 @@
1
- ---
2
- license: cc-by-nc-sa-4.0
3
- task_categories:
4
- - zero-shot-classification
5
- - zero-shot-image-classification
6
- language:
7
- - ar
8
- - el
9
- - en
10
- - hi
11
- - ja
12
- - ko
13
- - te
14
- - th
15
- - uk
16
- - zh
17
- tags:
18
- - multimodal
19
- - representation learning
20
- - multilingual
21
- pretty_name: Symile-M3
22
- size_categories:
23
- - 10M<n<100M
24
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
  # Dataset Card for Symile-M3
26
  Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice.
27
  - Paper: https://arxiv.org/abs/2411.01053
 
1
+ ---
2
+ license: cc-by-nc-sa-4.0
3
+ task_categories:
4
+ - zero-shot-classification
5
+ - zero-shot-image-classification
6
+ language:
7
+ - ar
8
+ - el
9
+ - en
10
+ - hi
11
+ - ja
12
+ - ko
13
+ - te
14
+ - th
15
+ - uk
16
+ - zh
17
+ tags:
18
+ - multimodal
19
+ - representation learning
20
+ - multilingual
21
+ pretty_name: Symile-M3
22
+ size_categories:
23
+ - 10M<n<100M
24
+ configs:
25
+ - config_name: symile-m3-5-m
26
+ data_files:
27
+ - split: train
28
+ path: symile-m3-5-m/train-*
29
+ - split: val
30
+ path: symile-m3-5-m/val-*
31
+ - split: test
32
+ path: symile-m3-5-m/test-*
33
+ dataset_info:
34
+ config_name: symile-m3-5-m
35
+ features:
36
+ - name: lang
37
+ dtype: string
38
+ - name: audio
39
+ dtype: audio
40
+ - name: image
41
+ dtype: image
42
+ - name: text
43
+ dtype: string
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+ - name: cls
45
+ dtype: string
46
+ - name: cls_id
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+ dtype: int64
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+ - name: target_text
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+ dtype: string
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+ splits:
51
+ - name: train
52
+ num_bytes: 725049451643.0
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+ num_examples: 5000000
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+ - name: val
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+ num_bytes: 35602464495.0
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+ num_examples: 250000
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+ - name: test
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+ num_bytes: 36207897705.0
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+ num_examples: 250000
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+ download_size: 798705714640
61
+ dataset_size: 796859813843.0
62
+ ---
63
  # Dataset Card for Symile-M3
64
  Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice.
65
  - Paper: https://arxiv.org/abs/2411.01053
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