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3GPP Release 18 Specifications
549 3GPP technical specifications and reports converted to markdown, organized by series.
Usage
from datasets import load_dataset
# Load all raw markdown for the 38-series
raw = load_dataset("GSMA/3GPP", "raw", split="38_series")
# Filter to one spec
spec = raw.filter(lambda r: r["spec_id"] == "38331")
print(spec[0]["text"][:500])
# Load all images for the 38-series
imgs = load_dataset("GSMA/3GPP", "images", split="38_series")
# Get images for one spec
spec_imgs = imgs.filter(lambda r: r["spec_id"] == "38104")
spec_imgs[0]["image"].show()
Structure
Two configs (subsets): raw and images. Each has 14 splits (one per series).
raw -- one row per specification:
| spec_id | title | version | date | text |
|---|---|---|---|---|
| 38104 | TS 38.104 | V18.4.0 | 2023-12 | # 3GPP TS 38.104... |
images -- one row per extracted figure:
| spec_id | filename | image |
|---|---|---|
| 38104 | 64662465bba2..._img.jpg | PIL Image |
Series (splits)
| Split | Specs | Images |
|---|---|---|
| 21_series | 1 | 4 |
| 22_series | 25 | 351 |
| 23_series | 86 | 4539 |
| 24_series | 55 | 1799 |
| 26_series | 22 | 749 |
| 27_series | 1 | 17 |
| 28_series | 47 | 681 |
| 29_series | 97 | 2269 |
| 31_series | 5 | 208 |
| 32_series | 20 | 498 |
| 33_series | 64 | 891 |
| 36_series | 25 | 904 |
| 37_series | 17 | 313 |
| 38_series | 84 | 2924 |
Source
Original DOCX files are in original/. Converted via Datalab API.
License
See 3GPP Legal Matters.
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