Datasets › TLF2K

TLF2K (Table-LastFm2K)

Introduced by Weichen Li et al. in rLLM: Relational Table Learning with LLMs29 Jul 2024 archive 2025-07-28

Table-LastFm2K (TLF2K) is a relational table dataset derived from the classical LastFM2K dataset. It contains three tables: artists, user_artists, and user_friends. Notably, the artists table has been enhanced with more detailed features, and the tags for each artist have been streamlined. The dataset also provides a standard classification task for music genre classification of artists.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Classification TLF2K BRIDGE Accuracy 42.2 rLLM: Relational Table Learning with LLMs rllm-project/rllm +1 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
rLLM: Relational Table Learning with LLMs 2 1 29 Jul 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • TLF2K

1 variant name, as the archive lists them.

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