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domain
string
embeddings
list
0-0.ir
[ { "page": "https://0-0.ir/product-tag/%DA%A9%D8%B1%D9%85-%D9%85%D8%AD%D8%A7%D9%81%D8%B8-%D8%AD%D8%B1%D8%A7%D8%B1%D8%AA-%D9%88-%D8%B6%D8%AF-%D9%88%D8%B2-%D8%AA%D8%B1%D8%B2%D9%85%DB%8C", "emb": [ -0.18390482664108276, 0.11306587606668472, -0.06101304665207863, -0.04180247709155083, ...
0-1.co.kr
[ { "page": "https://0-1.co.kr/86", "emb": [ 0.0460214763879776, 0.22514650225639343, 0.0872846320271492, -0.04046754911541939, -0.2379351556301117, -0.06391753256320953, 0.4485984444618225, 0.09813691675662994, -0.14576062560081482, 0.14364302158355...
0-71.ru
[ { "page": "https://0-71.ru/politics/dr-francis-collins-sunday-on-this-week-with-george-stephanopoulos.html", "emb": [ -0.27149343490600586, -0.0012702131643891335, -0.051256339997053146, -0.05684506148099899, 0.2155010998249054, 0.07569754123687744, -0.1107916831970...
0-community-crossref-org.library.alliant.edu
[ { "page": "https://0-community-crossref-org.library.alliant.edu/tag/retractions", "emb": [ -0.18034560978412628, -0.11483437567949295, -0.13488440215587616, 0.060051869601011276, 0.14923778176307678, 0.3192359209060669, -0.27251291275024414, 0.0202310979366302...
0-www-doi-org.library.alliant.edu
[ { "page": "https://0-www-doi-org.library.alliant.edu/the-identifier/resources/factsheets/designing-doi-applications", "emb": [ -0.036468975245952606, -0.0682431012392044, -0.028772693127393723, -0.16347341239452362, -0.01063623558729887, 0.07950542867183685, -0.2037...
0-www-siop-org.library.alliant.edu
[ { "page": "https://0-www-siop-org.library.alliant.edu/Research-Publications/Items-of-Interest/ArtMID/19366/ArticleID/7938/Disability-Inclusion-and-Accessibility-Webinar-to-Be-Held-Oct-25", "emb": [ -0.22773882746696472, -0.07977143675088882, 0.09166966378688812, 0.039391305297613144,...
0.drum-equip.com
[ { "page": "http://0.drum-equip.com/leadership-team", "emb": [ 0.036262717097997665, -0.016180196776986122, 0.17247521877288818, 0.04961313679814339, -0.38378089666366577, 0.01799473911523819, 0.03666609898209572, 0.3443412184715271, 0.11781708896160126, ...
00-000.pl
[ { "page": "http://00-000.pl/zachodniopomorskie/niechorze/72-350/", "emb": [ -0.34989163279533386, -0.08698997646570206, -0.0689297690987587, -0.04966472089290619, -0.022049155086278915, 0.003436450380831957, -0.047732990235090256, 0.13072918355464935, 0....
00035594.xyz
[ { "page": "http://00035594.xyz", "emb": [ -0.28309568762779236, 0.2609812319278717, -0.22546695172786713, -0.32022470235824585, 0.02632690779864788, 0.021370042115449905, -0.26906633377075195, 0.21187824010849, 0.20336933434009552, 0.05828497931361...
00049576.xyz
[ { "page": "http://00049576.xyz", "emb": [ 0.20418678224086761, -0.2985549867153168, -0.04069926589727402, -0.14585867524147034, -0.10638415068387985, 0.032903388142585754, -0.13711415231227875, 0.019286492839455605, -0.2128928154706955, 0.001516709...
002349.cn
[ { "page": "http://002349.cn/html/03e699912.html", "emb": [ -0.21554948389530182, 0.3824867010116577, -0.007120269350707531, -0.11098629236221313, -0.05229562148451805, -0.10268796235322952, 0.22635461390018463, 0.4115830659866333, -0.03339303657412529, ...
004-ama.com
[ { "page": "https://004-ama.com/tag/srhafdfdiofbamazon/", "emb": [ -0.282134473323822, 0.14465400576591492, -0.15295098721981049, -0.056277696043252945, 0.13448935747146606, 0.07796259969472885, 0.2764325737953186, 0.08279751986265182, -0.2328831553459167...
0086xianhua.com
[ { "page": "https://0086xianhua.com/info/589465", "emb": [ -0.007842672057449818, 0.20991471409797668, -0.08121448755264282, 0.005660312250256538, -0.09817658364772797, -0.09995895624160767, 0.14696559309959412, 0.14773687720298767, 0.2061736285686493, ...
009-cre.com
[ { "page": "https://009-cre.com/2021/06/13/lyuboviana%E3%82%AB%E3%83%BC%E3%83%89%E4%BD%BF%E3%81%88%E3%81%AA%E3%81%84/", "emb": [ -0.22093358635902405, 0.020082684233784676, -0.09843435883522034, -0.10204853117465973, -0.06761665642261505, 0.05279698222875595, 0.08789...
0098like.ir
[ { "page": "https://0098like.ir/purchase/buy/280", "emb": [ -0.17198210954666138, -0.12209083884954453, 0.005869496613740921, -0.17606176435947418, -0.17526879906654358, -0.12152741849422455, -0.09954270720481873, 0.11859329789876938, 0.13525593280792236,...
009game.me
[ { "page": "https://009game.me/dang-ky/", "emb": [ 0.058846164494752884, 0.02635665237903595, -0.26093050837516785, -0.24003350734710693, -0.34986788034439087, 0.020553339272737503, 0.009390219114720821, 0.17567045986652374, 0.13944411277770996, 0.1...
00f.pl
[ { "page": "https://00f.pl/pudlo/page/2/", "emb": [ 0.1484682410955429, 0.03187253326177597, 0.02172400802373886, 0.17570172250270844, 0.06331374496221542, -0.23928385972976685, -0.023775871843099594, -0.23945267498493195, -0.033262912184000015, 0.0...
00mmmmm.com
[ { "page": "http://00mmmmm.com/htm/2024/11/10/renqinvyou/649771.html", "emb": [ 0.24044188857078552, -0.23012572526931763, 0.07863254845142365, 0.001342862844467163, -0.0691886767745018, 0.04994042590260506, -0.013160846196115017, -0.1667870581150055, -0....
End of preview.

CrediBench Web Content Embeddings (December 2024)

This repository contains MiniLLM_MultiLingual_V2 embeddings for the CrediBench WebContent (December 2024) dataset.

Source dataset:
https://huggingface.co/datasets/Hussein-Abdallah/CrediBench-WebContent-Dec2024_CochranSampled

Overview

The source dataset is a Cochran-sampled subset of the December 2024 CrediBench WebContent corpus. Documents are sampled independently for each web domain using Cochran's sampling formula to produce a representative subset while reducing storage and computation.

Dataset Structure

The embeddings are distributed across 1,800 Parquet shard files.

An index file, 'warc_warc_bysampledoffset_ccmain202451_shards_index.parquet'

maps each web domain to the shard(s) that contain its document embeddings.

Example:

{
    "example.com": [0, 15, 128],
    "wikipedia.org": [2, 8],
    "github.com": [31]
}

This index allows efficient retrieval of embeddings for a specific web domain without scanning all shard files.

Embedding Model

  • Model: MiniLLM_MultiLingual_V2
  • Embedding granularity: One embedding per sampled document.

Usage

  1. Load the index file.
  2. Look up the target web domain.
  3. Read only the corresponding shard files.
  4. Filter documents belonging to the requested domain if necessary.

Citation

If you use this dataset in your research, please cite the CrediBench dataset and this embedding release.

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