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Datasets:
GSMA
/
3GPP-REL18

Languages:
English
Tags:
telecommunications
3gpp
5g
nr
lte
standards
License:
Dataset card Files
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Add files using upload-large-folder tool

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  1. README.md +65 -89
  2. data/images/21_series-00000-of-00001.parquet +3 -0
  3. data/images/22_series-00000-of-00001.parquet +3 -0
  4. data/images/23_series-00000-of-00001.parquet +3 -0
  5. data/images/24_series-00000-of-00001.parquet +3 -0
  6. data/images/26_series-00000-of-00001.parquet +3 -0
  7. data/images/27_series-00000-of-00001.parquet +3 -0
  8. data/images/28_series-00000-of-00001.parquet +3 -0
  9. data/images/29_series-00000-of-00001.parquet +3 -0
  10. data/images/31_series-00000-of-00001.parquet +3 -0
  11. data/images/32_series-00000-of-00001.parquet +3 -0
  12. data/images/33_series-00000-of-00001.parquet +3 -0
  13. data/images/36_series-00000-of-00001.parquet +3 -0
  14. data/images/37_series-00000-of-00001.parquet +3 -0
  15. data/images/38_series-00000-of-00001.parquet +3 -0
  16. data/raw/21_series-00000-of-00001.parquet +3 -0
  17. data/raw/22_series-00000-of-00001.parquet +3 -0
  18. data/raw/23_series-00000-of-00001.parquet +3 -0
  19. data/raw/24_series-00000-of-00001.parquet +3 -0
  20. data/raw/26_series-00000-of-00001.parquet +3 -0
  21. data/raw/27_series-00000-of-00001.parquet +3 -0
  22. data/raw/28_series-00000-of-00001.parquet +3 -0
  23. data/raw/29_series-00000-of-00001.parquet +3 -0
  24. data/raw/31_series-00000-of-00001.parquet +3 -0
  25. data/raw/32_series-00000-of-00001.parquet +3 -0
  26. data/raw/33_series-00000-of-00001.parquet +3 -0
  27. data/raw/36_series-00000-of-00001.parquet +3 -0
  28. data/raw/37_series-00000-of-00001.parquet +3 -0
  29. data/raw/38_series-00000-of-00001.parquet +3 -0
README.md CHANGED
@@ -14,91 +14,67 @@ tags:
14
  - release-18
15
  pretty_name: 3GPP Release 18 Specifications
16
  configs:
17
- - config_name: 21_series
18
- data_files:
19
- - split: raw
20
- path: data/21_series/raw-*.parquet
21
- - split: images
22
- path: data/21_series/images-*.parquet
23
- - config_name: 22_series
24
- data_files:
25
- - split: raw
26
- path: data/22_series/raw-*.parquet
27
- - split: images
28
- path: data/22_series/images-*.parquet
29
- - config_name: 23_series
30
- data_files:
31
- - split: raw
32
- path: data/23_series/raw-*.parquet
33
- - split: images
34
- path: data/23_series/images-*.parquet
35
- - config_name: 24_series
36
- data_files:
37
- - split: raw
38
- path: data/24_series/raw-*.parquet
39
- - split: images
40
- path: data/24_series/images-*.parquet
41
- - config_name: 26_series
42
- data_files:
43
- - split: raw
44
- path: data/26_series/raw-*.parquet
45
- - split: images
46
- path: data/26_series/images-*.parquet
47
- - config_name: 27_series
48
- data_files:
49
- - split: raw
50
- path: data/27_series/raw-*.parquet
51
- - split: images
52
- path: data/27_series/images-*.parquet
53
- - config_name: 28_series
54
- data_files:
55
- - split: raw
56
- path: data/28_series/raw-*.parquet
57
- - split: images
58
- path: data/28_series/images-*.parquet
59
- - config_name: 29_series
60
- data_files:
61
- - split: raw
62
- path: data/29_series/raw-*.parquet
63
- - split: images
64
- path: data/29_series/images-*.parquet
65
- - config_name: 31_series
66
- data_files:
67
- - split: raw
68
- path: data/31_series/raw-*.parquet
69
- - split: images
70
- path: data/31_series/images-*.parquet
71
- - config_name: 32_series
72
- data_files:
73
- - split: raw
74
- path: data/32_series/raw-*.parquet
75
- - split: images
76
- path: data/32_series/images-*.parquet
77
- - config_name: 33_series
78
- data_files:
79
- - split: raw
80
- path: data/33_series/raw-*.parquet
81
- - split: images
82
- path: data/33_series/images-*.parquet
83
- - config_name: 36_series
84
- data_files:
85
- - split: raw
86
- path: data/36_series/raw-*.parquet
87
- - split: images
88
- path: data/36_series/images-*.parquet
89
- - config_name: 37_series
90
- data_files:
91
- - split: raw
92
- path: data/37_series/raw-*.parquet
93
- - split: images
94
- path: data/37_series/images-*.parquet
95
- - config_name: 38_series
96
  default: true
97
  data_files:
98
- - split: raw
99
- path: data/38_series/raw-*.parquet
100
- - split: images
101
- path: data/38_series/images-*.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
102
  ---
103
 
104
  # 3GPP Release 18 Specifications
@@ -111,14 +87,14 @@ configs:
111
  from datasets import load_dataset
112
 
113
  # Load all raw markdown for the 38-series
114
- raw = load_dataset("GSMA/3GPP", "38_series", split="raw")
115
 
116
  # Filter to one spec
117
  spec = raw.filter(lambda r: r["spec_id"] == "38331")
118
  print(spec[0]["text"][:500])
119
 
120
  # Load all images for the 38-series
121
- imgs = load_dataset("GSMA/3GPP", "38_series", split="images")
122
 
123
  # Get images for one spec
124
  spec_imgs = imgs.filter(lambda r: r["spec_id"] == "38104")
@@ -127,7 +103,7 @@ spec_imgs[0]["image"].show()
127
 
128
  ## Structure
129
 
130
- Each series is a **config** (subset). Each config has two **splits**:
131
 
132
  **`raw`** -- one row per specification:
133
 
@@ -141,10 +117,10 @@ Each series is a **config** (subset). Each config has two **splits**:
141
  |---------|----------|-------|
142
  | 38104 | 64662465bba2..._img.jpg | PIL Image |
143
 
144
- ## Series
145
 
146
- | Config | Specs | Images |
147
- |--------|------:|-------:|
148
  | 21_series | 1 | 4 |
149
  | 22_series | 25 | 351 |
150
  | 23_series | 86 | 4539 |
 
14
  - release-18
15
  pretty_name: 3GPP Release 18 Specifications
16
  configs:
17
+ - config_name: raw
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  default: true
19
  data_files:
20
+ - split: 21_series
21
+ path: data/raw/21_series-*.parquet
22
+ - split: 22_series
23
+ path: data/raw/22_series-*.parquet
24
+ - split: 23_series
25
+ path: data/raw/23_series-*.parquet
26
+ - split: 24_series
27
+ path: data/raw/24_series-*.parquet
28
+ - split: 26_series
29
+ path: data/raw/26_series-*.parquet
30
+ - split: 27_series
31
+ path: data/raw/27_series-*.parquet
32
+ - split: 28_series
33
+ path: data/raw/28_series-*.parquet
34
+ - split: 29_series
35
+ path: data/raw/29_series-*.parquet
36
+ - split: 31_series
37
+ path: data/raw/31_series-*.parquet
38
+ - split: 32_series
39
+ path: data/raw/32_series-*.parquet
40
+ - split: 33_series
41
+ path: data/raw/33_series-*.parquet
42
+ - split: 36_series
43
+ path: data/raw/36_series-*.parquet
44
+ - split: 37_series
45
+ path: data/raw/37_series-*.parquet
46
+ - split: 38_series
47
+ path: data/raw/38_series-*.parquet
48
+ - config_name: images
49
+ data_files:
50
+ - split: 21_series
51
+ path: data/images/21_series-*.parquet
52
+ - split: 22_series
53
+ path: data/images/22_series-*.parquet
54
+ - split: 23_series
55
+ path: data/images/23_series-*.parquet
56
+ - split: 24_series
57
+ path: data/images/24_series-*.parquet
58
+ - split: 26_series
59
+ path: data/images/26_series-*.parquet
60
+ - split: 27_series
61
+ path: data/images/27_series-*.parquet
62
+ - split: 28_series
63
+ path: data/images/28_series-*.parquet
64
+ - split: 29_series
65
+ path: data/images/29_series-*.parquet
66
+ - split: 31_series
67
+ path: data/images/31_series-*.parquet
68
+ - split: 32_series
69
+ path: data/images/32_series-*.parquet
70
+ - split: 33_series
71
+ path: data/images/33_series-*.parquet
72
+ - split: 36_series
73
+ path: data/images/36_series-*.parquet
74
+ - split: 37_series
75
+ path: data/images/37_series-*.parquet
76
+ - split: 38_series
77
+ path: data/images/38_series-*.parquet
78
  ---
79
 
80
  # 3GPP Release 18 Specifications
 
87
  from datasets import load_dataset
88
 
89
  # Load all raw markdown for the 38-series
90
+ raw = load_dataset("GSMA/3GPP", "raw", split="38_series")
91
 
92
  # Filter to one spec
93
  spec = raw.filter(lambda r: r["spec_id"] == "38331")
94
  print(spec[0]["text"][:500])
95
 
96
  # Load all images for the 38-series
97
+ imgs = load_dataset("GSMA/3GPP", "images", split="38_series")
98
 
99
  # Get images for one spec
100
  spec_imgs = imgs.filter(lambda r: r["spec_id"] == "38104")
 
103
 
104
  ## Structure
105
 
106
+ Two **configs** (subsets): `raw` and `images`. Each has 14 **splits** (one per series).
107
 
108
  **`raw`** -- one row per specification:
109
 
 
117
  |---------|----------|-------|
118
  | 38104 | 64662465bba2..._img.jpg | PIL Image |
119
 
120
+ ## Series (splits)
121
 
122
+ | Split | Specs | Images |
123
+ |-------|------:|-------:|
124
  | 21_series | 1 | 4 |
125
  | 22_series | 25 | 351 |
126
  | 23_series | 86 | 4539 |
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