Datasets › TML1M

TML1M (Table-MovieLens1M)

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

Table-MovieLens1M (TML1M) is a relational table dataset derived from the classical MovieLens1M dataset. It consists of three tables: users, movies, and ratings. Notably, the movie table has been enriched with more comprehensive features. Additionally, the dataset defines a standard classification task focused on predicting user age ranges.

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 TML1M BRIDGE Accuracy 36.2 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

  • TML1M

1 variant name, as the archive lists them.

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