Home › Datasets › task › Long-range modeling

Long-range modeling datasets

archive 2025-07-28

4 datasets carry the task tag "Long-range modeling" (the task itself: Long-range modeling), ordered by the archive's paper count. Page 1 of 1: 4 shown of 4. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Long-range modeling datasets 1–4 of 4

LRA (Long-Range Arena)
Long-range arena (LRA) is an effort toward systematic evaluation of efficient transformer models.
180 papers · 1 benchmark
SCROLLS (Standardized CompaRison Over Long Language Sequences)
SCROLLS (Standardized CompaRison Over Long Language Sequences) is an NLP benchmark consisting of a suite of tasks that require reasoning over long texts.
42 papers · 1 benchmark
MuLD (Multitask Long Document Benchmark)
MuLD (Multitask Long Document Benchmark) is a set of 6 NLP tasks where the inputs consist of at least 10,000 words.
3 papers · 5 benchmarks
Pathfinder and Pathfinder-X have proven to be instrumental in training and testing Large Language Models with long-range dependencies.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.