Datasets:

Yusser
/

Fineweb-LARD

license: odc-by
task_categories:
  - text-generation
  - text-classification
language:
  - multilingual
size_categories:
  - n>1B
tags:
  - region
  - geographic-provenance
  - fineweb
  - fineweb-2
  - common-crawl
  - multilingual
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/**/*.parquet
  - config_name: fineweb_only
    data_files:
      - split: train
        path: data/**/fineweb-*.parquet
  - config_name: fineweb2_only
    data_files:
      - split: train
        path: data/**/fineweb2-*.parquet
  - config_name: lang_rus_Cyrl
    data_files:
      - split: train
        path: data/language_script=rus_Cyrl/**/*.parquet
  - config_name: lang_deu_Latn
    data_files:
      - split: train
        path: data/language_script=deu_Latn/**/*.parquet
  - config_name: lang_spa_Latn
    data_files:
      - split: train
        path: data/language_script=spa_Latn/**/*.parquet
  - config_name: lang_fra_Latn
    data_files:
      - split: train
        path: data/language_script=fra_Latn/**/*.parquet
  - config_name: lang_jpn_Jpan
    data_files:
      - split: train
        path: data/language_script=jpn_Jpan/**/*.parquet
  - config_name: lang_ita_Latn
    data_files:
      - split: train
        path: data/language_script=ita_Latn/**/*.parquet
  - config_name: lang_cmn_Hani
    data_files:
      - split: train
        path: data/language_script=cmn_Hani/**/*.parquet
  - config_name: lang_pol_Latn
    data_files:
      - split: train
        path: data/language_script=pol_Latn/**/*.parquet
  - config_name: lang_por_Latn
    data_files:
      - split: train
        path: data/language_script=por_Latn/**/*.parquet
  - config_name: lang_nld_Latn
    data_files:
      - split: train
        path: data/language_script=nld_Latn/**/*.parquet
  - config_name: lang_ces_Latn
    data_files:
      - split: train
        path: data/language_script=ces_Latn/**/*.parquet
  - config_name: lang_ron_Latn
    data_files:
      - split: train
        path: data/language_script=ron_Latn/**/*.parquet
  - config_name: lang_swe_Latn
    data_files:
      - split: train
        path: data/language_script=swe_Latn/**/*.parquet
  - config_name: lang_hun_Latn
    data_files:
      - split: train
        path: data/language_script=hun_Latn/**/*.parquet
  - config_name: lang_dan_Latn
    data_files:
      - split: train
        path: data/language_script=dan_Latn/**/*.parquet
  - config_name: lang_ukr_Cyrl
    data_files:
      - split: train
        path: data/language_script=ukr_Cyrl/**/*.parquet
  - config_name: lang_fas_Arab
    data_files:
      - split: train
        path: data/language_script=fas_Arab/**/*.parquet
  - config_name: lang_ell_Grek
    data_files:
      - split: train
        path: data/language_script=ell_Grek/**/*.parquet
  - config_name: lang_ind_Latn
    data_files:
      - split: train
        path: data/language_script=ind_Latn/**/*.parquet
  - config_name: lang_kor_Hang
    data_files:
      - split: train
        path: data/language_script=kor_Hang/**/*.parquet
  - config_name: lang_nob_Latn
    data_files:
      - split: train
        path: data/language_script=nob_Latn/**/*.parquet
  - config_name: lang_vie_Latn
    data_files:
      - split: train
        path: data/language_script=vie_Latn/**/*.parquet
  - config_name: lang_eng_Latn
    data_files:
      - split: train
        path: data/language_script=eng_Latn/**/*.parquet
  - config_name: lang_fin_Latn
    data_files:
      - split: train
        path: data/language_script=fin_Latn/**/*.parquet
  - config_name: lang_slk_Latn
    data_files:
      - split: train
        path: data/language_script=slk_Latn/**/*.parquet
  - config_name: lang_tur_Latn
    data_files:
      - split: train
        path: data/language_script=tur_Latn/**/*.parquet
  - config_name: lang_arb_Arab
    data_files:
      - split: train
        path: data/language_script=arb_Arab/**/*.parquet
  - config_name: lang_bul_Cyrl
    data_files:
      - split: train
        path: data/language_script=bul_Cyrl/**/*.parquet
  - config_name: lang_bos_Latn
    data_files:
      - split: train
        path: data/language_script=bos_Latn/**/*.parquet
  - config_name: lang_lit_Latn
    data_files:
      - split: train
        path: data/language_script=lit_Latn/**/*.parquet
  - config_name: region_RU
    data_files:
      - split: train
        path: data/**/region=RU/*.parquet
  - config_name: region_DE
    data_files:
      - split: train
        path: data/**/region=DE/*.parquet
  - config_name: region_JP
    data_files:
      - split: train
        path: data/**/region=JP/*.parquet
  - config_name: region_IT
    data_files:
      - split: train
        path: data/**/region=IT/*.parquet
  - config_name: region_FR
    data_files:
      - split: train
        path: data/**/region=FR/*.parquet
  - config_name: region_PL
    data_files:
      - split: train
        path: data/**/region=PL/*.parquet
  - config_name: region_CN
    data_files:
      - split: train
        path: data/**/region=CN/*.parquet
  - config_name: region_NL
    data_files:
      - split: train
        path: data/**/region=NL/*.parquet
  - config_name: region_BR
    data_files:
      - split: train
        path: data/**/region=BR/*.parquet
  - config_name: region_ES
    data_files:
      - split: train
        path: data/**/region=ES/*.parquet
  - config_name: region_UA
    data_files:
      - split: train
        path: data/**/region=UA/*.parquet
  - config_name: region_CZ
    data_files:
      - split: train
        path: data/**/region=CZ/*.parquet
  - config_name: region_EU
    data_files:
      - split: train
        path: data/**/region=EU/*.parquet
  - config_name: region_RO
    data_files:
      - split: train
        path: data/**/region=RO/*.parquet
  - config_name: region_HU
    data_files:
      - split: train
        path: data/**/region=HU/*.parquet
  - config_name: region_SE
    data_files:
      - split: train
        path: data/**/region=SE/*.parquet
  - config_name: region_DK
    data_files:
      - split: train
        path: data/**/region=DK/*.parquet
  - config_name: region_IR
    data_files:
      - split: train
        path: data/**/region=IR/*.parquet
  - config_name: region_GR
    data_files:
      - split: train
        path: data/**/region=GR/*.parquet
  - config_name: region_AR
    data_files:
      - split: train
        path: data/**/region=AR/*.parquet
  - config_name: region_CH
    data_files:
      - split: train
        path: data/**/region=CH/*.parquet
  - config_name: region_ID
    data_files:
      - split: train
        path: data/**/region=ID/*.parquet
  - config_name: region_MX
    data_files:
      - split: train
        path: data/**/region=MX/*.parquet
  - config_name: region_VN
    data_files:
      - split: train
        path: data/**/region=VN/*.parquet
  - config_name: region_NO
    data_files:
      - split: train
        path: data/**/region=NO/*.parquet
  - config_name: region_BE
    data_files:
      - split: train
        path: data/**/region=BE/*.parquet
  - config_name: region_KR
    data_files:
      - split: train
        path: data/**/region=KR/*.parquet
  - config_name: region_AT
    data_files:
      - split: train
        path: data/**/region=AT/*.parquet
  - config_name: region_SK
    data_files:
      - split: train
        path: data/**/region=SK/*.parquet
  - config_name: region_PT
    data_files:
      - split: train
        path: data/**/region=PT/*.parquet
  - config_name: region_FI
    data_files:
      - split: train
        path: data/**/region=FI/*.parquet
  - config_name: region_TW
    data_files:
      - split: train
        path: data/**/region=TW/*.parquet
  - config_name: region_TR
    data_files:
      - split: train
        path: data/**/region=TR/*.parquet
  - config_name: region_GB
    data_files:
      - split: train
        path: data/**/region=GB/*.parquet
  - config_name: region_CA
    data_files:
      - split: train
        path: data/**/region=CA/*.parquet
  - config_name: region_BG
    data_files:
      - split: train
        path: data/**/region=BG/*.parquet
  - config_name: region_CL
    data_files:
      - split: train
        path: data/**/region=CL/*.parquet
  - config_name: region_IL
    data_files:
      - split: train
        path: data/**/region=IL/*.parquet
  - config_name: region_IN
    data_files:
      - split: train
        path: data/**/region=IN/*.parquet
  - config_name: region_BY
    data_files:
      - split: train
        path: data/**/region=BY/*.parquet

FineWeb + FineWeb-2 with served-from region annotations (URL-only, resolved-only)

A region-annotated, hive-partitioned view of HuggingFaceFW/fineweb (the sample-100BT slice) and HuggingFaceFW/fineweb-2. Every record carries an ISO 3166-1 alpha-2 region label produced by the URL-only resolution pipeline described in the companion paper. Records with region == "XX" (unresolved) have been dropped; to access them, use the original FineWeb / FineWeb-2 datasets and rejoin on (source_dataset, id).

Records: 2,960,753,780 (resolved-only)
Locales (language_script × region): 30,012
Languages (resolved): 525 • Regions: 243
Layout: hive-partitioned data/language_script={ls}/region={r}/{source_dataset}-*.parquet

Resolution rate, not precision. The 57.20 % combined resolution rate (against the full input including XX) is recall-like — a measure of whether any label was produced, not whether it is correct. Label precision is not yet evaluated. Use the region_confidence column to filter (high/medium/low are the lookup-backed tiers; ccTLD and url_hint are weaker; rows with no signal were dropped).

Schema

Column	Type	Notes
`text`	string	Document body, verbatim from the source dataset.
`id`	string	Source record id (UUID-like). Together with `source_dataset` uniquely identifies the source row.
`dump`	string	CommonCrawl dump id (e.g. `CC-MAIN-2017-04`).
`url`	string	The URL used for region resolution.
`date`	string	WARC date.
`file_path`	string	Source WARC S3 path (for traceability).
`language`	string	ISO 639-3 (FineWeb's `en` is normalised to `eng`).
`language_script`	string	ISO 15924 (`Latn`, `Cyrl`, `Hani`, `Jpan`, `Arab`, …).
`language_score`	float64	Source-dataset language-ID confidence.
`token_count`	int64	FineWeb only (null for FineWeb-2).
`minhash_cluster_size`	int64	FineWeb-2 only (null for FineWeb).
`top_langs`	string	FineWeb-2 only (per-segment lang JSON, null for FineWeb).
`region`	string	ISO 3166-1 alpha-2. `XX` rows are excluded.
`locale`	string	`<language>_<script>-<region>` (e.g. `eng_Latn-GB`).
`region_source`	string	`query` / `host_path` / `host` / `domain` / `url_hint` / `tld`.
`region_confidence`	string	`high` / `medium` / `low` / `url_hint` / `ccTLD`.
`region_content_share`	float32	A11 content-scan vote share (0.0 in this URL-only release).
`region_top_rule`	string	`A1`–`A8` when the lookup CSV path was consulted, else empty.
`source_dataset`	string	`"fineweb"` or `"fineweb2"`.

Access patterns

The repository is hive-partitioned so you can scope a load to a locale, a region, or a language without scanning the whole corpus.

By locale (`language_script`-`region`)

from datasets import load_dataset

ds = load_dataset(
    "REPO_ID",
    data_files="data/language_script=eng_Latn/region=GB/*.parquet",
    split="train",
)
print(ds[0])

By region (across all languages)

ds = load_dataset(
    "REPO_ID",
    data_files="data/**/region=DE/*.parquet",
    split="train",
)

By `language_script` (across all regions)

ds = load_dataset(
    "REPO_ID",
    data_files="data/language_script=rus_Cyrl/**/*.parquet",
    split="train",
)

Named configs (pre-declared in the dataset card)

For the most common slices we predeclare configs so you can do:

ds = load_dataset("REPO_ID", "lang_eng_Latn",  split="train")
ds = load_dataset("REPO_ID", "region_GB",      split="train")
ds = load_dataset("REPO_ID", "fineweb2_only",  split="train")
ds = load_dataset("REPO_ID", "default",        split="train")  # everything

The named configs are convenience shortcuts; the data_files glob route works for any (language_script, region) combination, including those without a named config.

Filter by confidence

region_confidence follows the pipeline's ladder. To get only the lookup-backed tiers (no bare-ccTLD fallback):

ds = ds.filter(lambda x: x["region_confidence"] in ("high", "medium", "low"))

Rejoin to the original corpora

To get the XX (unresolved) rows back, or to verify a row against the source dataset:

# source_dataset ∈ {"fineweb", "fineweb2"}, id is the per-source record id.
src = "HuggingFaceFW/fineweb" if row["source_dataset"] == "fineweb" else "HuggingFaceFW/fineweb-2"
# Streaming lookup; the source datasets do not have an id index, but
# the (dump, url) tuple is unique in practice.

Provenance

FineWeb rows come from the sample-100BT subset.
FineWeb-2 rows come from the full ingest (5.03 B records), minus one corrupt parquet shard (lit_Latn-XX/data-00084.parquet, 1.98 M records — all unresolved, so they would have been dropped anyway).
Region labels are produced by the region_lookup_v3 resolver and its 1.33 M-key URL lookup table. The pipeline is described in the companion paper (paper.md in the source tree).
A11 content-scan is not enabled in this release. region_content_share is 0 for every row; the region_source = "content" source value never fires.

Limitations

Precision unmeasured. No held-out gold set has been built yet. Treat labels as best-effort, not certified.
cmn_Hani is preserved verbatim from FineWeb-2's source directories. Simplified vs Traditional (Hans/Hant) is not distinguished; downstream consumers needing the split must derive it from region (CN/SG → Hans; TW/HK/MO → Hant) or by re-scanning text.
Non-Latin / RTL URL handling is unaudited at scale. Punycode IDN hosts (xn--*) resolve via the ccTLD fallback but not via host-key lookups built on Latin forms.
No cross-corpus dedup. A URL that appears in both FineWeb and FineWeb-2 produces two rows.

Citation

@misc{fineweb-region-urlonly-2026,
  title  = {{FineWeb + FineWeb-2 URL-only region annotations}},
  author = {Yusser Al-Ghussin},
  year   = {2026},
  url    = {https://huggingface.co/datasets/REPO_ID},
}

License

Inherits from the source datasets:

FineWeb: ODC-By 1.0
FineWeb-2: ODC-By 1.0

The annotation columns added by this work (region, locale, region_source, region_confidence, region_content_share, region_top_rule, source_dataset) are released under CC0-1.0.