---
license: other
license_name: o-ran
license_link: https://www.o-ran.org/
language:
- en
pretty_name: O-RAN ALLIANCE Specifications
tags:
- telecommunications
- oran
- standards
- open-telco
size_categories:
- n<1K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/*/train.parquet
- config_name: WG11
  data_files:
  - split: train
    path: data/WG11/train.parquet
- config_name: WG2
  data_files:
  - split: train
    path: data/WG2/train.parquet
- config_name: WG6
  data_files:
  - split: train
    path: data/WG6/train.parquet
- config_name: WG10
  data_files:
  - split: train
    path: data/WG10/train.parquet
- config_name: WG1
  data_files:
  - split: train
    path: data/WG1/train.parquet
- config_name: WG3
  data_files:
  - split: train
    path: data/WG3/train.parquet
- config_name: WG5
  data_files:
  - split: train
    path: data/WG5/train.parquet
- config_name: TIFG
  data_files:
  - split: train
    path: data/TIFG/train.parquet
- config_name: WG9
  data_files:
  - split: train
    path: data/WG9/train.parquet
- config_name: WG4
  data_files:
  - split: train
    path: data/WG4/train.parquet
- config_name: WG7
  data_files:
  - split: train
    path: data/WG7/train.parquet
---

# O-RAN source mirror

> Part of the **[Open-Telco Telecom Standards Corpus](https://huggingface.co/collections/GSMA/telecom-standards-corpus-6a432dc598fc32729754fecf)**.  
> Sibling mirrors: [3GPP](https://huggingface.co/datasets/GSMA/3GPP) · [ETSI](https://huggingface.co/datasets/GSMA/etsi) · [ITU-T](https://huggingface.co/datasets/GSMA/itu) · **O-RAN** · [GSMA](https://huggingface.co/datasets/GSMA/gsma) · [TM Forum](https://huggingface.co/datasets/GSMA/tmforum) · [CAMARA](https://huggingface.co/datasets/GSMA/camara)

This dataset mirrors the O-RAN ALLIANCE's published specifications and technical reports. Every source is kept twice: `original/` is the document as O-RAN released it (PDF and Word), and `marked/` is that same document converted to Markdown for search and retrieval, one `raw.md` per document with any figures extracted beside it. The two trees share identical paths, so a file in `original/` has a parsed twin at the matching path under `marked/`; both are grouped by O-RAN ALLIANCE working group (WG1 through WG11, plus the focus groups SFG, SuFG, and TIFG). `manifest.jsonl` carries one row per file (path, SHA-256, parse status), and `STATUS.md` reports how much of the corpus has been parsed.

```text
oran/
  original/         # specs as published, by working group
    WG1/  WG2/  WG4/  TIFG/  ...
  marked/           # Markdown mirror of original/, same paths
    WG4/.../raw.md  #   one per document, images beside it
  manifest.jsonl    # one row per file: path, sha256, parse status
  STATUS.md         # parse-coverage summary
```

## How it is organized

- `original/` holds the specifications and technical reports as the O-RAN ALLIANCE published them (PDF and Word), grouped by working group (WG1 through WG11, plus the focus groups SFG, SuFG, and TIFG).
- `marked/` is the Markdown twin of `original/` at identical paths, one `raw.md` per document with figures beside it.
- `manifest.jsonl` carries one row per file (path, SHA-256, parse status); `STATUS.md` reports parse coverage.

## How to use

Pull only the Markdown twins (skip the heavy `original/` tree) and read them straight:

```python
from huggingface_hub import snapshot_download

path = snapshot_download("GSMA/oran", repo_type="dataset", allow_patterns="marked/**")
# every parsed document is a marked/**/raw.md
```

## The corpus

This dataset is part of the **Open-Telco Telecom Standards Corpus**, an effort to make telecommunications open by mirroring every major standards body into clean, machine-readable Markdown. The full set: 3GPP, ETSI, ITU-T, O-RAN, GSMA, TM Forum, and CAMARA. Browse them all in the [collection](https://huggingface.co/collections/GSMA/telecom-standards-corpus-6a432dc598fc32729754fecf).

## License and attribution

The mirrored documents remain the property of the O-RAN ALLIANCE and stay subject to its terms; see [www.o-ran.org](https://www.o-ran.org/). This dataset reproduces them in original and Markdown form for research, search, and retrieval. Cite the underlying specification by its O-RAN document number when you use it.