IT
Datasets
All datasets matching “IT”Aiice
Dataset
Aiice benchmark dataset for Arctic sea ice concentration (SIC) forecasting,
based on OSI-SAF satellite products (CC BY 4.0).
Coverage
Period: October 1978 – April 2026
Resolution: 25 km spatial, daily temporal
Grid: 432×432 (Lambert Azimuthal Equal Area, EPSG:6931)
Source products
Product
Source
Period
OSI-450-a
SMMR, SSM/I, SSMIS
1978–2020
OSI-430-a
SSMIS
2021–Jul 2025
OSI-438
AMSR2
Jul 2025–present… See the full description on the dataset page: https://huggingface.co/datasets/ITMO-NSS/Aiice.muri-it-language-split
MURI-IT: Multilingual Instruction Tuning Dataset for 200 Languages via Multilingual Reverse Instructions
MURI-IT is a large-scale multilingual instruction tuning dataset containing 2.2 million instruction-output pairs across 200 languages. It is designed to address the challenges of instruction tuning in low-resource languages with Multilingual Reverse Instructions (MURI), which ensures that the output is human-written, high-quality, and authentic to the cultural and linguistic… See the full description on the dataset page: https://huggingface.co/datasets/akoksal/muri-it-language-split.itu
ITU-T source mirror
Part of the Open-Telco Telecom Standards Corpus.Sibling mirrors: 3GPP · ETSI · ITU-T · O-RAN · GSMA · TM Forum · CAMARA
This dataset mirrors the ITU Telecommunication Standardization Sector (ITU-T) Recommendations. Every source is kept twice: original/ is the Recommendation as ITU-T released it (PDF), and marked/ is that same document converted to Markdown for search and retrieval, one raw.md per document with any figures extracted beside it. The two trees… See the full description on the dataset page: https://huggingface.co/datasets/GSMA/itu.Anime-LineArt-Dataset
Anime Lineart Sketch Dataset
Dataset Summary
This dataset contains high-quality lineart sketch images automatically extracted from raw anime images using the LineartAnimeDetector model from ControlNet Annotators (lllyasviel/Annotators).
It is designed to support research and development in:
Anime-style sketch generation
Text-to-sketch pipelines
ControlNet conditioning
Sketch-to-image and image-to-sketch translation
The raw source images are sourced from the Anime Images… See the full description on the dataset page: https://huggingface.co/datasets/ityizNola/Anime-LineArt-Dataset.emotion-vectors-gemma-4-31b-it-postfix
Emotion vectors, google/gemma-4-31b-it (corrected extraction)
Residual-stream activations for google/gemma-4-31b-it, pooled per story and averaged per
emotion. Each emotion ends up as one direction in the model's activation space.
Read LINEAGE.md before using this. This set supersedes
abotresol/emotion-vectors-gemma-4-31b-it. The earlier extraction ran
while the tokenizer padded on the left, so the step that skips a story's first
50 tokens skipped padding instead. This set… See the full description on the dataset page: https://huggingface.co/datasets/abotresol/emotion-vectors-gemma-4-31b-it-postfix.alphabetic-arxiv-authors-it1