parquet-converter
commited on
Commit
·
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Parent(s):
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Update parquet files
Browse files- .gitattributes +0 -37
- README.md +0 -127
- dataset.jsonl → olivierdehaene--xkcd/json-train.parquet +2 -2
- scrapper.py +0 -204
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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README.md
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---
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annotations_creators: []
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language_creators:
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- other
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language:
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- en
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license:
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- cc-by-sa-3.0
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- other
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multilinguality:
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- monolingual
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pretty_name: XKCD
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size_categories:
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- 1K<n<10K
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source_datasets: []
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task_categories:
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- image-to-text
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- feature-extraction
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task_ids: []
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---
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# Dataset Card for "XKCD"
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Dataset Creation](#dataset-creation)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Additional Information](#additional-information)
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- [Licensing Information](#licensing-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [https://xkcd.com/](https://xkcd.com/), [https://www.explainxkcd.com](https://www.explainxkcd.com)
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- **Repository:** [Hugging Face repository](https://huggingface.co/datasets/olivierdehaene/xkcd/tree/main)
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### Dataset Summary
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XKCD is an export of all XKCD comics with their transcript and explanation scrapped from
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[https://explainxkcd.com](https://explainxkcd.com).
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## Dataset Structure
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### Data Instances
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- `id`: `1`
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- `title`: `Barrel - Part 1`
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- `image_title`: `Barrel - Part 1`
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- `url`: `https://www.xkcd.com/1`
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- `image_url`: `https://imgs.xkcd.com/comics/barrel_cropped_(1).jpg`
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- `explained_url`: `https://www.explainxkcd.com/wiki/index.php/1:_Barrel_-_Part_1`
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- `transcript`: `[A boy sits in a barrel which is floating in an ocean.] Boy: i wonder where i'll float next?
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[A smaller frame with a zoom out of the boy in the barrel seen from afar. The barrel drifts into the distance. Nothing
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else can be seen.]`
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- `explanation`: `The comic shows a young boy floating in a barrel in an ocean that doesn't have a visible end. It
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comments on the unlikely optimism and perhaps naïveté people sometimes display. The boy is completely lost and seems
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hopelessly alone, without any plan or control of the situation. Yet, rather than afraid or worried, he is instead
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quietly curious: "I wonder where I'll float next?" Although not necessarily the situation in this comic, this is a
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behavior people often exhibit when there is nothing they can do about a problematic situation for a long time; they may
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have given up hope or developed a cavalier attitude as a coping mechanism. The title text expands on the philosophical
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content, with the boy representing the average human being: wandering through life with no real plan, quietly
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optimistic, always opportunistic and clueless as to what the future may hold. The isolation of the boy may also
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represent the way in which we often feel lost through life, never knowing quite where we are, believing that there is
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no one to whom to turn. This comic could also reflect on Randall's feelings towards creating xkcd in the first place;
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unsure of what direction the web comic would turn towards, but hopeful that it would eventually become the popular web
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comic that we know today. This is the first in a six-part series of comics whose parts were randomly published during
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the first several dozen strips. The series features a character that is not consistent with what would quickly become
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the xkcd stick figure style. The character is in a barrel. In 1110: Click and Drag there is a reference to this comic
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at 1 North, 48 East . After Randall released the full The Boy and his Barrel story on xkcd, it has been clear that the
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original Ferret story should also be included as part of the barrel series. The full series can be found here . They
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are listed below in the order Randall chose for the short story above: `
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### Data Fields
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- `id`
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- `title`
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- `url`: xkcd.com URL
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- `image_url`
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- `explained_url`: explainxkcd.com URL
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- `transcript`: english text transcript of the comic
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- `explanation`: english explanation of the comic
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## Dataset Creation
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The dataset was scrapped from both explainxkcd.com and xkcd.com.
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The dataset is therefore licensed under the Creative Commons Attribution-ShareAlike 3.0 license for
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the `transcript` and `explanation` fields, while the image itself is licensed under the
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Creative Commons Attribution-NonCommercial 2.5 license.
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See the [Copyrights](https://www.explainxkcd.com/wiki/index.php/explain_xkcd:Copyrights) page from
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explainxkcd.com for more explanations.
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### Update
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You can update the dataset by using the `scrapper.py` script.
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First install the dependencies:
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```bash
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pip install aiolimiter aiohttp beautifulsoup4 pandas
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```
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Then run the script:
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```bash
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python scrapper.py
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```
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## Considerations for Using the Data
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As the data was scrapped, it is entirely possible that some fields are missing part of the original data.
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## Additional Information
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### Licensing Information
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The dataset is licensed under the Creative Commons Attribution-ShareAlike 3.0 license for
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the `transcript` and `explanation` fields, while the images are licensed under the
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Creative Commons Attribution-NonCommercial 2.5 license.
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### Contributions
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Thanks to [@OlivierDehaene](https://github.com/OlivierDehaene) for adding this dataset.
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dataset.jsonl → olivierdehaene--xkcd/json-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e723148e96b24f7ff9861c695bbe00b1a4800e739ea5bd9f44fae394a6c6708
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size 7463760
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scrapper.py
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import aiohttp
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import asyncio
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import re
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import pandas as pd
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from pathlib import Path
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from aiolimiter import AsyncLimiter
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from typing import Dict, List
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from bs4 import BeautifulSoup
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from bs4.element import Tag
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LIST_COMICS_500_URL = (
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"https://www.explainxkcd.com/wiki/index.php/List_of_all_comics_(1-500)"
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)
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LIST_COMICS_FULL_URL = (
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"https://www.explainxkcd.com/wiki/index.php/List_of_all_comics_(full)"
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)
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def walk_tag(initial_tag: Tag, end_tag_name: str) -> str:
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"""
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Walk the HTML tree and aggregates all text between an
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initial tag and an end tag.
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Parameters
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----------
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initial_tag: BeautifulSoup
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end_tag_name: str
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Returns
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-------
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aggregated_text: str
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"""
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result = []
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current_tag = initial_tag
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# Walk the HTML
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while True:
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if current_tag.name in ["p", "dl"]:
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result.append(current_tag.get_text(separator=" ", strip=True))
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elif current_tag.name == end_tag_name:
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# We reached the end tag, break
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break
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current_tag = current_tag.next_sibling
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return "\n".join(result)
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async def parse_url_html(
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session: aiohttp.ClientSession, url: str, throttler: AsyncLimiter
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) -> BeautifulSoup:
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"""
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Parse the HTML content of a given URL.
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The request is sent asynchronously and using a provided request throttler.
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If the request fails, we retry up to 5 times.
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Parameters
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----------
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session: aiohttp.ClientSession
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url: str
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throttler: AsyncLimiter
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Returns
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-------
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BeautifulSoup
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"""
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for _ in range(5):
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try:
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# prevent issues with rate limiters
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async with throttler:
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async with session.get(url, raise_for_status=True) as resp:
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html = await resp.text()
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return BeautifulSoup(html, "html.parser")
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# request failed
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except aiohttp.ClientError:
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continue
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async def scrap_comic(
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session: aiohttp.ClientSession, explained_url: str, throttler: AsyncLimiter
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) -> Dict[str, str]:
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"""
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Try to scrap all information for a given XKCD comic using its `explainxkcd.com` URL
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Parameters
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----------
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session: aiohttp.ClientSession
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explained_url: str
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throttler: AsyncLimiter
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Returns
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-------
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Dict[str, str]
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"""
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soup = await parse_url_html(session, explained_url, throttler)
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# Parse id and title
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title_splits = soup.find("h1").text.split(":")
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if len(title_splits) > 1:
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id = title_splits[0]
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title = "".join(title_splits[1:]).strip()
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else:
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id = None
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title = "".join(title_splits).strip()
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# Parse explanation
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explanation_soup = soup.find("span", {"id": "Explanation"})
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try:
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explanation = walk_tag(explanation_soup.parent, "span")
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except:
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explanation = None
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# Parse transcript
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transcript_soup = soup.find("span", {"id": "Transcript"})
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try:
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transcript = walk_tag(transcript_soup.parent, "span")
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except:
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transcript = None
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xkcd_url = f"https://www.xkcd.com/{id}"
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xkcd_soup = await parse_url_html(session, xkcd_url, throttler)
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# Parse image title
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try:
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image = xkcd_soup.find("div", {"id": "comic"}).img
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if title in image:
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image_title = image["title"]
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else:
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image_title = image["alt"]
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except:
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image_title = None
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# Parse image url
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try:
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image_url = xkcd_soup.find(text=re.compile("https://imgs.xkcd.com"))
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except:
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image_url = None
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return dict(
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id=id,
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title=title,
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image_title=image_title,
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url=xkcd_url,
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image_url=image_url,
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explained_url=explained_url,
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transcript=transcript,
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explanation=explanation,
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)
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async def scap_comic_urls(
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session: aiohttp.ClientSession, comic_list_url: str
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) -> List[str]:
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"""
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Scrap all XKCD comic URLs from the `explainxkcd.com` website.
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Parameters
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----------
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session: aiohttp.ClientSession
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comic_list_url: str
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Returns
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-------
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urls: List[str]
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"""
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async with session.get(comic_list_url) as resp:
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167 |
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html = await resp.text()
|
168 |
-
soup = BeautifulSoup(html, "html.parser")
|
169 |
-
|
170 |
-
# Hack to easily find comics
|
171 |
-
create_spans = soup.find_all("span", {"class": "create"})
|
172 |
-
return [
|
173 |
-
"https://www.explainxkcd.com" + span.parent.a["href"] for span in create_spans
|
174 |
-
]
|
175 |
-
|
176 |
-
|
177 |
-
async def main():
|
178 |
-
"""
|
179 |
-
Scrap XKCD dataset
|
180 |
-
"""
|
181 |
-
# Throttle to 10 requests per second
|
182 |
-
throttler = AsyncLimiter(max_rate=10, time_period=1)
|
183 |
-
async with aiohttp.ClientSession() as session:
|
184 |
-
# Get all comic urls
|
185 |
-
comic_urls = await scap_comic_urls(
|
186 |
-
session, LIST_COMICS_500_URL
|
187 |
-
) + await scap_comic_urls(session, LIST_COMICS_FULL_URL)
|
188 |
-
|
189 |
-
# Scrap all comics asynchronously
|
190 |
-
data = await asyncio.gather(
|
191 |
-
*[scrap_comic(session, url, throttler) for url in comic_urls]
|
192 |
-
)
|
193 |
-
|
194 |
-
df = (
|
195 |
-
pd.DataFrame.from_records(data)
|
196 |
-
.dropna(subset=["id"])
|
197 |
-
.astype({"id": "int32"})
|
198 |
-
.sort_values("id")
|
199 |
-
)
|
200 |
-
df.to_json(Path(__file__).parent / "dataset.jsonl", orient="records", lines=True)
|
201 |
-
|
202 |
-
|
203 |
-
if __name__ == "__main__":
|
204 |
-
asyncio.run(main())
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