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Instruction Following datasets
archive 2025-07-28
14 datasets carry the task tag "Instruction Following" (the task itself: Instruction Following), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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
Instruction Following datasets 1–14 of 14
IFEval (Instruction Following Evaluation Datset)
This dataset evaluates instruction following ability of large language models.
180 papers · 1 benchmark
Grounded SCAN poses a simple task, where an agent must execute action sequences based on a synthetic language instruction.
22 papers · 0 benchmarks
MultI-Modal In-Context Instruction Tuning (MIMIC-IT) is a dataset for instruction tuning into multi-modal models, motivated by the Flamingo model's upstream interleaved format pretraining dataset.
11 papers · 0 benchmarks
UGIF is a multi-lingual, multi-modal UI grounded dataset for step-by-step task completion on the smartphone.
10 papers · 0 benchmarks
Bactrian-X is a comprehensive multilingual parallel dataset of 3.4 million instruction-response pairs across 52 languages.
9 papers · 0 benchmarks
CIDAR contains 10,000 instructions and their output.
4 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
InstructOpenWiki is a substantial instruction tuning dataset for Open-world IE enriched with a comprehensive corpus, extensive annotations, and diverse instructions.
1 paper · 0 benchmarks
This is the sequential instructions dataset from Understanding the Effects of RLHF on LLM Generalisation and Diversity.
1 paper · 0 benchmarks
Dataset Generation - Base Model: h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2 - Seed Instructions: Selected from the databricks/databricks-dolly-15k dataset - Generation Approach: Iterative evolution of instructions using a conversational…
1 paper · 0 benchmarks
Overview The LaMini Dataset is an instruction dataset generated using h2ogpt-gm-oasst1-en-2048-falcon-40b-v2.
1 paper · 0 benchmarks
Dataset Generation - Base Model: h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v2 - Seed Instructions: Derived from the FLAN-v2 Collection.
1 paper · 0 benchmarks
Dataset Card for "tamil-alpaca" This repository includes a Tamil-translated version of the Alpaca dataset.
1 paper · 0 benchmarks
Dataset Card for "tamil-alpaca" This repository includes a Tamil-translated versions of the Alpaca dataset and a subset of OpenOrca dataset.
1 paper · 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.