---
language:
- af
- ar
- az
- bn
- cs
- de
- en
- es
- et
- fa
- fi
- fr
- ga
- gl
- gu
- he
- hi
- hr
- id
- it
- ja
- ka
- kk
- km
- ko
- lt
- lv
- mk
- ml
- mn
- mr
- my
- ne
- nl
- pl
- ps
- pt
- ro
- ru
- si
- sl
- sv
- ta
- th
- tr
- uk
- ur
- vi
- xh
- zh
pretty_name: MegaWika Citation Source Text
configs:
- config_name: af
  data_files:
  - split: train
    path: af_0.jsonl
- config_name: ar
  data_files:
  - split: train
    path: ar_0.jsonl
- config_name: az
  data_files:
  - split: train
    path: az_0.jsonl
- config_name: bn
  data_files:
  - split: train
    path: bn_0.jsonl
- config_name: cs
  data_files:
  - split: train
    path: cs_0.jsonl
- config_name: de
  data_files:
  - split: train
    path: de_0.jsonl
- config_name: en
  data_files:
  - split: train
    path: en*.jsonl
- config_name: es
  data_files:
  - split: train
    path: es_0.jsonl
- config_name: et
  data_files:
  - split: train
    path: et_0.jsonl
- config_name: fa
  data_files:
  - split: train
    path: fa_0.jsonl
- config_name: fi
  data_files:
  - split: train
    path: fi_0.jsonl
- config_name: fr
  data_files:
  - split: train
    path: fr*.jsonl
- config_name: ga
  data_files:
  - split: train
    path: ga_0.jsonl
- config_name: gl
  data_files:
  - split: train
    path: gl_0.jsonl
- config_name: gu
  data_files:
  - split: train
    path: gu_0.jsonl
- config_name: he
  data_files:
  - split: train
    path: he_0.jsonl
- config_name: hi
  data_files:
  - split: train
    path: hi_0.jsonl
- config_name: hr
  data_files:
  - split: train
    path: hr_0.jsonl
- config_name: id
  data_files:
  - split: train
    path: id_0.jsonl
- config_name: it
  data_files:
  - split: train
    path: it_0.jsonl
- config_name: ja
  data_files:
  - split: train
    path: ja_0.jsonl
- config_name: ka
  data_files:
  - split: train
    path: ka_0.jsonl
- config_name: kk
  data_files:
  - split: train
    path: kk_0.jsonl
- config_name: km
  data_files:
  - split: train
    path: km_0.jsonl
- config_name: ko
  data_files:
  - split: train
    path: ko_0.jsonl
- config_name: lt
  data_files:
  - split: train
    path: lt_0.jsonl
- config_name: lv
  data_files:
  - split: train
    path: lv_0.jsonl
- config_name: mk
  data_files:
  - split: train
    path: mk_0.jsonl
- config_name: ml
  data_files:
  - split: train
    path: ml_0.jsonl
- config_name: mn
  data_files:
  - split: train
    path: mn_0.jsonl
- config_name: mr
  data_files:
  - split: train
    path: mr_0.jsonl
- config_name: my
  data_files:
  - split: train
    path: my_0.jsonl
- config_name: ne
  data_files:
  - split: train
    path: ne_0.jsonl
- config_name: nl
  data_files:
  - split: train
    path: nl_0.jsonl
- config_name: pl
  data_files:
  - split: train
    path: pl_0.jsonl
- config_name: ps
  data_files:
  - split: train
    path: ps_0.jsonl
- config_name: pt
  data_files:
  - split: train
    path: pt_0.jsonl
- config_name: ro
  data_files:
  - split: train
    path: ro_0.jsonl
- config_name: ru
  data_files:
  - split: train
    path: ru*.jsonl
- config_name: si
  data_files:
  - split: train
    path: si_0.jsonl
- config_name: sl
  data_files:
  - split: train
    path: sl_0.jsonl
- config_name: sv
  data_files:
  - split: train
    path: sv_0.jsonl
- config_name: ta
  data_files:
  - split: train
    path: ta_0.jsonl
- config_name: th
  data_files:
  - split: train
    path: th_0.jsonl
- config_name: tr
  data_files:
  - split: train
    path: tr_0.jsonl
- config_name: uk
  data_files:
  - split: train
    path: uk_0.jsonl
- config_name: ur
  data_files:
  - split: train
    path: ur_0.jsonl
- config_name: vi
  data_files:
  - split: train
    path: vi_0.jsonl
- config_name: xh
  data_files:
  - split: train
    path: xh_0.jsonl
- config_name: zh
  data_files:
  - split: train
    path: zh_0.jsonl
---

# MegaWika Citation Source Text

## Dataset Access

You can access the dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset
dataset = load_dataset("hltcoe/megawika-citation-text-only")
```

## Dataset Information

MegaWika Citation Source Text is a large-scale, multilingual collection of Wikipedia citations and their source text. 

### Key Features

- Covers 51 languages
- Contains full text of Wikipedia citations
- Mostly text-only version (little HTML or other markup)

### Data Format

Each entry in the dataset is a JSON object with the following structure:

```json
{
  "title": "Title of the Wikipedia article the citation came from",
  "last_revision": "The last revision of the Wikipedia page (not the citation)",
  "url": "URL of the citation",
  "source_text": "The citation source text"
}
```

## Language Files

The dataset is split into multiple files, one for each language. For languages with a large amount of data, the files are further split into parts. Here's a sample of the available files:

- af.jsonl
- ar.jsonl
- az.jsonl
- bn.jsonl
- cs.jsonl
- de.jsonl
- en.split.1.jsonl, en.split.2.jsonl, ..., en.split.8.jsonl
- es.jsonl
- fr.split.1.jsonl, fr.split.2.jsonl, fr.split.3.jsonl, fr.split.4.jsonl
- ...

For a complete list of available files, please refer to the dataset's file structure on Hugging Face.

## Usage Examples

Here is an example of how you might use this dataset:
   
   ```python
   from datasets import load_dataset
   
   dataset = load_dataset("hltcoe/megawika-citation-text-only", "en")["train"]
   texts = dataset["source_text"]
   ```