Update parquet files

data/train-00003-of-00006-9f022966b6bb9cf8.parquet → Bingsu--laion2B-multi-korean-subset/parquet-train-00000-of-00006.parquet

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data/train-00000-of-00006-5fe89370890da24f.parquet → Bingsu--laion2B-multi-korean-subset/parquet-train-00001-of-00006.parquet

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data/train-00001-of-00006-aab9b1bf52a2df3f.parquet → Bingsu--laion2B-multi-korean-subset/parquet-train-00002-of-00006.parquet

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data/train-00002-of-00006-1c4b4049541a99d4.parquet → Bingsu--laion2B-multi-korean-subset/parquet-train-00003-of-00006.parquet

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Bingsu--laion2B-multi-korean-subset/parquet-train-00004-of-00006.parquet

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Bingsu--laion2B-multi-korean-subset/parquet-train-00005-of-00006.parquet

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README.md

@@ -1,179 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language_creators:
-- crowdsourced
-language:
-- ko
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-pretty_name: laion2B-multi-korean-subset
-size_categories:
-- 10M<n<100M
-task_categories:
-- feature-extraction
----
-# laion2B-multi-korean-subset
-
-## Dataset Description
-- **Homepage:** [laion-5b](https://laion.ai/blog/laion-5b/)
-- **Huggingface:** [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi)
-
-## About dataset
-a subset data of [laion/laion2B-multi](https://huggingface.co/datasets/laion/laion2B-multi), including only korean
-
-### Lisence
-CC-BY-4.0
-## Data Structure
-
-### Data Instance
-
-```py
->>> from datasets import load_dataset
->>> dataset = load_dataset("Bingsu/laion2B-multi-korean-subset")
->>> dataset
-DatasetDict({
-    train: Dataset({
-        features: ['SAMPLE_ID', 'URL', 'TEXT', 'HEIGHT', 'WIDTH', 'LICENSE', 'LANGUAGE', 'NSFW', 'similarity'],
-        num_rows: 11376263
-    })
-})
-```
-
-```py
->>> dataset["train"].features
-{'SAMPLE_ID': Value(dtype='int64', id=None),
- 'URL': Value(dtype='string', id=None),
- 'TEXT': Value(dtype='string', id=None),
- 'HEIGHT': Value(dtype='int32', id=None),
- 'WIDTH': Value(dtype='int32', id=None),
- 'LICENSE': Value(dtype='string', id=None),
- 'LANGUAGE': Value(dtype='string', id=None),
- 'NSFW': Value(dtype='string', id=None),
- 'similarity': Value(dtype='float32', id=None)}
-```
-
-### Data Size
-
-download: 1.56 GiB<br>
-generated: 2.37 GiB<br>
-total: 3.93 GiB
-
-### Data Field
-
-- 'SAMPLE_ID': `int`
-- 'URL': `string`
-- 'TEXT': `string`
-- 'HEIGHT': `int`
-- 'WIDTH': `int`
-- 'LICENSE': `string`
-- 'LANGUAGE': `string`
-- 'NSFW': `string`
-- 'similarity': `float`
-
-### Data Splits
-
-|           |    train |
-| --------- | -------- |
-| # of data | 11376263 |
-
-
-## Note
-
-### Height, Width
-
-이미지의 가로가 `HEIGHT`로, 세로가 `WIDTH`로 되어있는 것 같습니다.
-
-```pycon
->>> dataset["train"][98]
-{'SAMPLE_ID': 2937471001780,
- 'URL': 'https://image.ajunews.com/content/image/2019/04/12/20190412175643597949.png',
- 'TEXT': '인천시교육청, 인천 시군구발전협의회  임원진과의 간담회 개최',
- 'HEIGHT': 640,
- 'WIDTH': 321,
- 'LICENSE': '?',
- 'LANGUAGE': 'ko',
- 'NSFW': 'UNLIKELY',
- 'similarity': 0.33347243070602417}
-```
-
-![image](https://image.ajunews.com/content/image/2019/04/12/20190412175643597949.png)
-
-### csv file, pandas
-
-```py
-# pip install zstandard
-import pandas as pd
-from huggingface_hub import hf_hub_url
-
-url = hf_hub_url("Bingsu/laion2B-multi-korean-subset", filename="laion2B-multi-korean-subset.csv.zst", repo_type="dataset")
-# url = "https://huggingface.co/datasets/Bingsu/laion2B-multi-korean-subset/resolve/main/laion2B-multi-korean-subset.csv.zst"
-df = pd.read_csv(url)
-```
-
-<https://huggingface.co/datasets/Bingsu/laion2B-multi-korean-subset/resolve/main/laion2B-multi-korean-subset.csv.zst>
-
-778 MB
-
-### Code used to generate
-
-```py
-import csv
-import re
-
-from datasets import load_dataset
-from tqdm import tqdm
-
-
-pattern = re.compile(r"[가-힣]")
-
-
-def quote(s: str) -> str:
-    s = s.replace('"""', "")
-    return s
-
-
-def filter_func(example) -> bool:
-    lang = example.get("LANGUAGE")
-    text = example.get("TEXT")
-    if not isinstance(lang, str) or not isinstance(text, str):
-        return False
-    return lang == "ko" or pattern.search(text) is not None
-
-
-file = open("./laion2B-mulit_korean_subset.csv", "w", encoding="utf-8", newline="")
-
-ds = load_dataset("laion/laion2B-multi", split="train", streaming=True)
-dsf = ds.filter(filter_func)
-header = [
-    "SAMPLE_ID",
-    "URL",
-    "TEXT",
-    "HEIGHT",
-    "WIDTH",
-    "LICENSE",
-    "LANGUAGE",
-    "NSFW",
-    "similarity",
-]
-writer = csv.DictWriter(file, fieldnames=header)
-writer.writeheader()
-
-try:
-    for data in tqdm(dsf):  # total=11378843
-        data["TEXT"] = quote(data.get("TEXT", ""))
-        if data["TEXT"]:
-            writer.writerow(data)
-finally:
-    file.close()
-
-print("Done!")
-```
-
-실행에 약 8시간이 소요되었습니다. 이후에 `HEIGHT`나 `WIDTH`가 None인 데이터를 제거하고 업로드하였습니다.
-
-### img2dataset
-
-[img2dataset](https://github.com/rom1504/img2dataset)을 사용하여 URL로된 이미지들을 데이터셋 형태로 만들 수 있습니다.

data/train-00004-of-00006-829cbdc252d37dd4.parquet

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dataset_infos.json

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-{"Bingsu--laion2B-multi-korean-subset": {
-    "description": "",
-    "citation": "",
-    "homepage": "",
-    "license": "",
-    "features": {
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-            "dtype": "int64",
-            "id": null,
-            "_type": "Value"
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-            "num_examples": 11376263,
-            "dataset_name": "laion2B-multi-korean-subset"
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-    "download_size": 1672858560,
-    "post_processing_size": null,
-    "dataset_size": 2541688237,
-    "size_in_bytes": 4214546797
-}}

laion2B-multi-korean-subset.csv.zst

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