vpermilp/lid-sah

spellman LID corpus — sah

275,761 rows / 114.0M chars of sah-language text with provenance, built for training and evaluating the spellman language detector. Rows are single-line texts: news articles and library works (paragraph/sentence-group sized) plus Telegram/VK community posts and comments (wild register — emoji, hashtags, code-switching artefacts, folk spellings kept on purpose).

Row length: median 283 chars (p10 68, p90 867).

Configs

config	contents	rows
moderated (default)	news · library · wiki — edited, published sources	58,292
wild	tg-post · tg-comment · vk-post · vk-comment — Telegram and VK community posts and comments	217,469
all	union of both	275,761

from datasets import load_dataset
moderated = load_dataset("vpermilp/lid-sah")            # default config
wild = load_dataset("vpermilp/lid-sah", "wild")

Columns

column	meaning
text	the row (single line, whitespace-flattened)
lang	ISO 639-3 (sah)
source	site store or Telegram channel handle
register	news · library · wiki · tg-post · tg-comment · vk-post · vk-comment
date	publication date when the source exposed one (YYYY-MM-DD)
id	source URL (crawl) or message/post id (Telegram, VK)

Registers

register	rows
tg-post	175,589
news	58,292
tg-comment	27,365
vk-post	14,515

Sources

source	register	rows
edersaas.ru-sah	news	58,292
nvk_sakha	tg-post	34,925
sakhasire20	tg-post	21,713
sakhasire20	tg-comment	15,803
kiin_kyorat_gazeta	tg-post	14,982
uamurusahargata	tg-post	14,230
gazetaensieli	tg-post	12,081
sanaoloh	tg-post	11,637
namskiyulus	tg-post	11,394
kyymsakha	tg-post	11,018
taattagazeta	tg-post	9,732
amma_olo5o	tg-post	8,033
suntar_sonunnara	tg-post	7,697
sakha_nvk	vk-post	6,805
sakhaa_sire	vk-post	6,671
gazetanyurba	tg-post	6,591
biikige	tg-post	2,472
uamurusahargata	tg-comment	2,196
biikige	tg-comment	2,001
valerinikolaev	tg-post	1,550
kyymsakha	tg-comment	1,506
sakhalive	tg-post	1,485
sanaoloh	tg-comment	1,157
gazetaensieli	tg-comment	1,122
archy_jiete	tg-post	1,017
dmitriytikhon0v	tg-post	900
kyymru	vk-post	816
rnk0908	tg-post	814
mikhaleva_saya	tg-post	796
sakhasporttv	tg-post	773
namskiyulus	tg-comment	679
mekhesmasaxa	tg-post	651
gazetanyurba	tg-comment	443
sakhalive	tg-comment	377
kurulgen_uran	tg-post	361
suntar_sonunnara	tg-comment	323
rnk0908	tg-comment	311
erelerelik	tg-comment	305
dmitriytikhon0v	tg-comment	292
sakha_video	tg-comment	288
sakha_songs	vk-post	223
sakha_video	tg-post	215
sakhasporttv	tg-comment	208
tetim_radio	tg-post	166
traditionalculturesakha	tg-post	164
traditionalculturesakha	tg-comment	152
erelerelik	tg-post	143
kurulgen_uran	tg-comment	94
tetim_radio	tg-comment	81
surukbicik	tg-post	49
kiin_kyorat_gazeta	tg-comment	26
amma_olo5o	tg-comment	1

How it was built and cleaned

1. Orthographic gate — every row carries letters that never occur in Russian orthography (e.g. Sakha ө ү ҥ ҕ һ), with a per-language marker-density floor; Russian-function-word share gates code-switched rows, which are split into native sentence runs rather than dropped.
2. Structural cleaning — site chrome and per-channel boilerplate (lines repeated across ≥8 posts), self-promo tails, TV schedules, Telegram thread roots (auto-forwarded post copies) removed.
3. Structural repairs — soft hyphens removed and print-layout splits rejoined (hyphenated / lowercase-continued paragraphs merged in page order); site breadcrumbs, TV schedules, weather tables, chord sheets, sponsor tails and letter-spacing artefacts dropped; Latin h/x homoglyphs inside Cyrillic words normalized (1,491 rows dropped); long rows must carry marker letters in ≥2 tokens (4,448).
4. Content-free filter — emoji/URL/number-only rows, Latin-dominant or mojibake rows, HTML-entity leftovers dropped (630).
5. Cross-source dedup on a normalized key (casefold; URLs, handles, hashtags, punctuation, digits stripped) — catches site↔channel cross-posts and reposts (35,310 removed).
6. PII masking — phone numbers and e-mails replaced by <phone> / <email>; no author identities were ever stored.
7. Model judge — rows the current spellman model contradicts at ≥0.9 confidence outside the language's close-pair group are dropped (2).

No train/validation/test split is shipped: the spellman pipeline assigns splits content-addressed (crc32) at mix time.

License

The compilation, cleaning and annotations are released under the MIT license. Row texts are redistributed from the public sources listed above (newspapers, libraries, public Telegram channels and VK communities) for language-identification research; each row carries its source and id so upstream attribution is always recoverable.

Built 2026-08-30T12:19:59+00:00.