Datasets:
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -37,8 +37,8 @@ tags:
|
|
| 37 |
- summarization
|
| 38 |
---
|
| 39 |
|
| 40 |
-
|
| 41 |
-
|
| 42 |
|
| 43 |
|
| 44 |
## Languages
|
|
@@ -48,25 +48,25 @@ ace, ban, bcl, bjn, bug, cbk, gor, ilo, ind, jav, khm, lao, mad, map_bms, min, m
|
|
| 48 |
## Supported Tasks
|
| 49 |
|
| 50 |
Self Supervised Pretraining, Summarization
|
| 51 |
-
|
| 52 |
## Dataset Usage
|
| 53 |
### Using `datasets` library
|
| 54 |
```
|
| 55 |
-
|
| 56 |
-
|
| 57 |
```
|
| 58 |
### Using `seacrowd` library
|
| 59 |
```import seacrowd as sc
|
| 60 |
# Load the dataset using the default config
|
| 61 |
-
|
| 62 |
# Check all available subsets (config names) of the dataset
|
| 63 |
-
|
| 64 |
# Load the dataset using a specific config
|
| 65 |
-
|
| 66 |
```
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
|
| 70 |
|
| 71 |
## Dataset Homepage
|
| 72 |
|
|
|
|
| 37 |
- summarization
|
| 38 |
---
|
| 39 |
|
| 40 |
+
SEA Lang & Local Langs Wikipedia Archives, dumped from WIkipedia HF and processed by boilerplate removal.
|
| 41 |
+
This dataset consists of URL of referred Wikipedia Article, its Title, and its Text Data (Article Contents).
|
| 42 |
|
| 43 |
|
| 44 |
## Languages
|
|
|
|
| 48 |
## Supported Tasks
|
| 49 |
|
| 50 |
Self Supervised Pretraining, Summarization
|
| 51 |
+
|
| 52 |
## Dataset Usage
|
| 53 |
### Using `datasets` library
|
| 54 |
```
|
| 55 |
+
from datasets import load_dataset
|
| 56 |
+
dset = datasets.load_dataset("SEACrowd/sea_wiki", trust_remote_code=True)
|
| 57 |
```
|
| 58 |
### Using `seacrowd` library
|
| 59 |
```import seacrowd as sc
|
| 60 |
# Load the dataset using the default config
|
| 61 |
+
dset = sc.load_dataset("sea_wiki", schema="seacrowd")
|
| 62 |
# Check all available subsets (config names) of the dataset
|
| 63 |
+
print(sc.available_config_names("sea_wiki"))
|
| 64 |
# Load the dataset using a specific config
|
| 65 |
+
dset = sc.load_dataset_by_config_name(config_name="<config_name>")
|
| 66 |
```
|
| 67 |
+
|
| 68 |
+
More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
|
| 69 |
+
|
| 70 |
|
| 71 |
## Dataset Homepage
|
| 72 |
|