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0601p/Traveling_Namuwiki_Actions

Traveling Namuwiki Actions Traveling Namuwiki Actions is an adjacency-list dataset built from Namuwiki page links. Each row contains a page title and the list of linked page titles that can be used as next actions in a graph-navigation task. This dataset was derived from the Hugging Face dataset heegyu/namuwiki. Files data.jsonl File size: about 405.1 MiB. Schema Each JSONL row has this shape: { "title": "source page title", "actions": ["linked… See the full description on the dataset page: https://huggingface.co/datasets/0601p/Traveling_Namuwiki_Actions.

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Traveling Namuwiki Actions

Traveling Namuwiki Actions is an adjacency-list dataset built from Namuwiki page links. Each row contains a page title and the list of linked page titles that can be used as next actions in a graph-navigation task.

This dataset was derived from the Hugging Face dataset `heegyu/namuwiki`.

Files

text
data.jsonl

File size: about 405.1 MiB.

Schema

Each JSONL row has this shape:

json
{
  "title": "source page title",
  "actions": ["linked page title", "..."]
}

actions is sorted and deduplicated within each row. Pages with no extracted outgoing actions were removed from this dataset. Therefore, if a Namuwiki page title does not appear as a title row here, it should be treated as having no available outgoing actions in this action graph.

Statistics

MetricValue
Rows / source pages562,217
Total actions / links20,715,178
Average actions per page36.85
Minimum actions per page1
Maximum actions per page11,231

Actions Per Page

Actions countRows
110,784
212,642
315,188
416,385
517,911
618,202
718,268
818,571
918,611
1017,890
1117,149
1216,094
1315,329
1414,537
1513,686
1612,954
1712,171
1811,436
1910,918
2010,189
21+263,302

Usage

Load the JSONL file directly:

python
import json

with open("data.jsonl", "r", encoding="utf-8") as f:
    for line in f:
        row = json.loads(line)
        title = row["title"]
        actions = row["actions"]
        break

Load with datasets:

python
from datasets import load_dataset

dataset = load_dataset("json", data_files="data.jsonl", split="train")
print(dataset[0])

or load with Hugging Face Hub:

python
from datasets import load_dataset

dataset = load_dataset("YOUR_USERNAME/Traveling_Namuwiki_Actions", split="train")

Build an in-memory graph:

python
graph = {row["title"]: row["actions"] for row in dataset}

Notes

  • —This dataset stores page-title links only, not full article text.
  • —Links to files, categories, images, external URLs, and self-links were removed during preprocessing.
  • —Pages with no extracted outgoing links were removed. When traversing this graph, a title that is not present as a source title row should be handled as a terminal page with no outgoing actions.
  • —Some linked page titles may not appear as source title rows due to redirects or missing pages; these should also be handled as terminal pages in this graph.