Infini-News
Collection
A multilingual news corpus built from Common Crawl CC-News, indexed and queriable in milliseconds, cleaned an enriched with language and topic id • 2 items • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Job manager crashed while running this job (missing heartbeats).
Error code: JobManagerCrashedError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
INFINI-NEWS Corpus
A multilingual news corpus extracted from Common Crawl CC-News WARC files. One row per article, with body text extracted via trafilatura, WARC provenance, and derived metadata (publish date, language, topic, byte hashes) in a single flat schema. Covers Aug 2016 – Apr 2026.
At a glance
| Articles | 1 357 027 742 |
| Distinct hostnames | 133 565 |
| Text size (uncompressed) | 3.4 TB |
| Estimated tokens | ~1.19 trillion (cl100k_base) |
| Languages — GlotLID (ISO 639-3) | 1 172 |
| Languages — CommonLingua (334-class) | 331 |
| Files | 48 978 parquet shards, partitioned year=YYYY/month=MM |
| On-disk size | ~1.7 TB (zstd parquet) |
| License | CC-BY-4.0 |
Articles per year
| year | articles | months |
|---|---|---|
| 2016 | 7.4 M | Aug–Dec |
| 2017 | 71.6 M | full |
| 2018 | 92.0 M | full |
| 2019 | 129.8 M | full |
| 2020 | 185.2 M | full |
| 2021 | 196.7 M | full |
| 2022 | 201.9 M (peak) | full |
| 2023 | 182.1 M | full |
| 2024 | 143.1 M | full |
| 2025 | 120.3 M | full |
| 2026 | 26.8 M | Jan–Apr |
Top languages
Detected with two independent identifiers — GlotLID (Kargaran et al. 2023) and CommonLingua (Pleias / GSMA 2026); counts below are from CommonLingua (334-class, byte-level).
| ISO 639-3 | articles | share |
|---|---|---|
| eng | 521.3 M | 38.4 % |
| spa | 135.2 M | 9.96 % |
| rus | 88.8 M | 6.55 % |
| deu | 86.7 M | 6.39 % |
| ita | 70.8 M | 5.21 % |
| fra | 55.3 M | 4.07 % |
| tur | 43.9 M | 3.24 % |
| arb | 28.9 M | 2.13 % |
| por | 27.2 M | 2.00 % |
| hin | 21.5 M | 1.59 % |
| other 321 langs (CommonLingua) | 277.6 M | 20.5 % |
Schema
| column | type | description |
|---|---|---|
warc_record_id |
string | WARC URN; primary key, unique per article |
url |
string | full article URL as crawled |
url_hostname |
string | parsed hostname (e.g. bbc.co.uk) |
url_tld |
string | parsed top-level domain (e.g. co.uk) |
warc_filename |
string | source WARC archive file in the CC-News bucket |
warc_target_uri |
string | original WARC-Target-URI header |
warc_date |
string | WARC capture timestamp (ISO-8601) |
warc_payload_digest |
string | original payload SHA-1 from the WARC header |
http_status |
int | HTTP response code at capture time |
publish_date |
string | publish date parsed from page metadata, when extractable |
title |
string | article title from page metadata |
author |
string | author byline from page metadata, when present |
sitename |
string | publisher / site name from page metadata |
description |
string | OpenGraph / meta-description string, when present |
categories |
list<string> | publisher-provided categories |
tags |
list<string> | publisher-provided tags |
text |
string | extracted article body (trafilatura) |
text_xxhash64 |
uint64 | xxHash64 of text (handy as a dedup / equality key) |
raw_html_length |
int | length of the original HTML payload, bytes |
text_length |
int | length of the extracted body text, characters |
language |
string | GlotLID full label (e.g. eng_Latn) |
language_iso639_3 |
string | GlotLID ISO 639-3 code (e.g. eng) |
language_script |
string | GlotLID ISO 15924 script code (e.g. Latn) |
language_score |
float | GlotLID confidence ∈ [0, 1] |
language_short |
string | GlotLID short tag (ISO 639-1 / -3 fallback) |
language_short_score |
float | GlotLID short-tag confidence |
lang |
string | CommonLingua language label (334-class, byte-level) |
lang_score |
float | CommonLingua confidence ∈ [0, 1] |
lang_method |
string | CommonLingua decoder variant used |
iptc_topic |
string | IPTC top-17 Media Topic (Kuzman & Ljubešić 2025) — one of politics, sport, economy_business_finance, arts_culture, crime_law, human_interest, disaster_accident, health, conflict_war, lifestyle, education, science_tech, society, environment, labour, weather, religion |
iptc_score |
float | IPTC softmax probability of the predicted topic |
iptc_method |
string | classifier version / decoding setting |
trafilatura_version |
string | trafilatura release used for extraction |
extraction_version |
string | pipeline version tag |
extraction_timestamp |
string | UTC timestamp of body extraction |
year |
int | partition key (from warc_date) |
month |
int | partition key (from warc_date) |
Quick start
from datasets import load_dataset
ds = load_dataset("ruggsea/infini-news-corpus",
data_files="data/year=2022/month=06/part-*.parquet",
split="train", streaming=True)
# text_xxhash64 is uint64; HF datasets can't auto-cast it to int64.
ds = ds.remove_columns(["text_xxhash64"])
for row in ds.take(3):
print(row["title"], "|", row["lang"], "|", row["iptc_topic"])
INSTALL httpfs; LOAD httpfs;
-- Use the hf:// scheme so the part-*.parquet glob resolves (the
-- generic https:// URL forbids globs unless you SET
-- allow_asterisks_in_http_paths = true).
SELECT iptc_topic, COUNT(*) AS n
FROM read_parquet(
'hf://datasets/ruggsea/infini-news-corpus/data/year=2022/month=06/part-*.parquet'
)
WHERE lang = 'eng' AND text_length > 500
GROUP BY iptc_topic ORDER BY n DESC LIMIT 5;
Companion FM-index
Pre-built FM-index over the same corpus, with sub-10 ms exact
substring count over all 1.36 B articles:
ruggsea/infini-news-index.
Dataset creation
Curation rationale
A broad, multilingual news corpus that is queryable in milliseconds
via the companion FM-index
(ruggsea/infini-news-index),
with stable provenance back to the original WARCs and lightweight
derived metadata inline (language, topic) so downstream filtering
doesn't require a secondary classifier pass. Together the corpus +
index let you do exact substring search and count over 1.36 B
articles without scanning the parquet.
Source data
The corpus is built from Common Crawl News (CC-News) WARC files —
the weekly archival snapshots that Common Crawl publishes for the
news subset of its crawls. WARC (Web ARChive,
ISO 28500)
is the standard binary container format used by web archives; each
WARC file holds a stream of HTTP responses with their full headers
and payloads, exactly as the crawler observed them.
CC-News covers
Aug 2016 — Apr 2026 in this release. Common Crawl re-crawls a curated
seed list of news domains plus URLs discovered in its main crawls.
The raw WARC files live at
commoncrawl/CC-NEWS/;
each row in this dataset preserves the exact warc_filename (file
the article was read from), warc_target_uri (the URL crawled),
warc_date (capture timestamp), and warc_payload_digest (SHA-1
of the original response body).
Processing pipeline
- Stream WARC payloads from the CC-News S3 bucket.
- Extract body text with trafilatura.
- Tag languages with GlotLID (Kargaran et al. 2023) and CommonLingua (Pleias / GSMA 2026) — both labels stored independently, no winner picked.
- Classify each article into the IPTC top-17 Media Topic taxonomy with the XLM-RoBERTa-large model from Kuzman & Ljubešić 2025.
- Write monthly parquet shards with merged metadata, partitioned
year=YYYY/month=MM.
Full code:
codeberg.org/ksolovev/infini-news.
Terms of use
Access to the corpus is gated. By accepting the access request you commit to using the corpus for academic research purposes only.
The underlying articles were extracted from CommonCrawl CC-News and remain subject to the original publishers' copyright; we redistribute them on the legal basis of research exceptions recognised in most jurisdictions, mirroring the access model used by comparable web-derived corpora. Derived metadata columns (language, topic, extraction provenance) are released under CC-BY-4.0.
The companion FM-index at
ruggsea/infini-news-index
is offered ungated as the open-access query interface; the bulk
article text is only available through this gated corpus repo.
Operators of news outlets who want their content excluded from
future releases can open a discussion on the Hugging Face dataset
page citing the affected url_hostname.
FAIR compliance
This release follows the FAIR data principles (Wilkinson et al. 2016):
- Findable. Indexed on the Hugging Face Hub, assigned a
persistent DOI
10.57967/hf/8606, and accompanied by this dataset card describing schema, coverage and processing. - Accessible. Articles are retrievable over HTTPS through the
huggingface_hubclient. Access requires institutional affiliation and a stated research purpose (see Terms of use); FAIR explicitly permits authentication. The dataset card itself remains publicly accessible regardless of gating, and the companion FM-index is open for queries without downloading the corpus. - Interoperable. Data are in Apache Parquet with the explicit per-column schema above. Identifiers use standard vocabularies: ISO 639-3 language codes, ISO 15924 script codes, the IPTC top-17 Media Topic taxonomy, and the original WARC URNs.
- Reusable. Provenance is preserved row-by-row
(
warc_filename,warc_target_uri,warc_payload_digest,warc_date); pipeline versions are captured intrafilatura_version,extraction_version,extraction_timestamp,iptc_methodandlang_method. The derived-metadata columns carry CC-BY-4.0; reuse of the article bodies is governed by the Terms of use above.
Citation
@misc{lazzaroni2026infininews,
author = {Lazzaroni, Ruggero Marino and Lasser, Jana and Solovev, Kirill},
title = {{INFINI-NEWS Corpus}},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/ruggsea/infini-news-corpus},
doi = {10.57967/hf/8606}
}
- Downloads last month
- 24,753