cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18499145
title: Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M

description: Binge Watch: Reproducible Multimodal Benchmarks for MovieLens-10M and 20M

Description

This repository provides M³L-10M and M³L-20M, large-scale and fully reproducible multimodal extensions of the MovieLens-10M and MovieLens-20M datasets. The datasets augment the original MovieLens interaction data with rich textual, visual, acoustic, and video features extracted from movie plots, posters, and trailers.

By following a documented pipeline and avoiding aggressive item filtering, these datasets preserve over 93% of the original rating data while providing high-coverage side information for multimodal recommendation research.

Dataset Statistics




Metric
M³L-10M
M³L-20M




Total Users
69,878
138,493


Total Items (Full Coverage)
9,031
19,009


Total Ratings
9,409,884
18,777,965


Sparsity
98.66%
99.29%


Interaction Coverage
94.10%
93.89%




Included Multimodal Features

High-dimensional latent representations are provided for each item, extracted using state-of-the-art encoders



Textual (Plots): MiniLM, MPNet, and CLIP-Text

Visual (Posters): VGG16, Vision Transformer (ViT), and CLIP-Image

Acoustic (Trailers): VGGish, Whisper, and AST

Video (Trailers): SlowFast (R50), R(2+1)D, and MVIT


Resource Contents



Interaction Data (MMRec format):



Train, Valid, Test data following an 8:1:1 split.

This is ready to use in the MMRec framework

Check our GitHub repository for the configuration files and the MMRec source code



Feature JSONs: Individual mapping files for each encoder (e.g., text_mpnet.json) containing item ID-to-embedding pairs



They use the original ML-10M/-20M item IDs

Useful to integrate the same features into any other framework 

Original rating files are available in GroupLens or our repository



Raw Data: we also release the raw data files, to foster REPROducibility of our resource



Text we collect from IMDB

Poster URLs, obtained from IMDB 

Trailer URLs, obtained from IMDB
DOI: 10.5281/zenodo.18499144
title: Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M

description: Binge Watch: Reproducible Multimodal Benchmarks for MovieLens-10M and 20M

Description

This repository provides M³L-10M and M³L-20M, large-scale and fully reproducible multimodal extensions of the MovieLens-10M and MovieLens-20M datasets. The datasets augment the original MovieLens interaction data with rich textual, visual, acoustic, and video features extracted from movie plots, posters, and trailers.

By following a documented pipeline and avoiding aggressive item filtering, these datasets preserve over 93% of the original rating data while providing high-coverage side information for multimodal recommendation research.

Dataset Statistics




Metric
M³L-10M
M³L-20M




Total Users
69,878
138,493


Total Items (Full Coverage)
9,031
19,009


Total Ratings
9,409,884
18,777,965


Sparsity
98.66%
99.29%


Interaction Coverage
94.10%
93.89%




Included Multimodal Features

High-dimensional latent representations are provided for each item, extracted using state-of-the-art encoders



Textual (Plots): MiniLM, MPNet, and CLIP-Text

Visual (Posters): VGG16, Vision Transformer (ViT), and CLIP-Image

Acoustic (Trailers): VGGish, Whisper, and AST

Video (Trailers): SlowFast (R50), R(2+1)D, and MVIT


Resource Contents



Interaction Data (MMRec format):



Train, Valid, Test data following an 8:1:1 split.

This is ready to use in the MMRec framework

Check our GitHub repository for the configuration files and the MMRec source code



Feature JSONs: Individual mapping files for each encoder (e.g., text_mpnet.json) containing item ID-to-embedding pairs



They use the original ML-10M/-20M item IDs

Useful to integrate the same features into any other framework 

Original rating files are available in GroupLens or our repository



Raw Data: we also release the raw data files, to foster REPROducibility of our resource



Text we collect from IMDB

Poster URLs, obtained from IMDB 

Trailer URLs, obtained from IMDB
DOI: 10.5281/zenodo.18544061
title: Bote

description: Réplica de un bote producido en Fajalauza. La pieza no esta cocida. Presenta una morfología con borde invasado y labio redondeado. No tiene cuello y el hombro presenta una apertura que da lugar a un cuerpo cilíndrico rematado por una base plana.

Cronología: Contemporánea

Fotografías, modelo y descripción: https://sketchfab.com/ibarramedinaA

Este modelo forma parte de CEGRAM (Proyecto PID2022-140442NA-I00 financiado por MICIU/AEI/10.13039/501100011033/ y por FEDER, UE) e iCERAAM (Proyecto de Innovación docente: Ceramoteca medieval y moderna. Un instrumento docente y de divulgación. ICERAMM (PIB Tipo A nº 24-199), financiado por la Universidad de Granada)
DOI: 10.5281/zenodo.18544062
title: Bote

description: Réplica de un bote producido en Fajalauza. La pieza no esta cocida. Presenta una morfología con borde invasado y labio redondeado. No tiene cuello y el hombro presenta una apertura que da lugar a un cuerpo cilíndrico rematado por una base plana.

Cronología: Contemporánea

Fotografías, modelo y descripción: https://sketchfab.com/ibarramedinaA

Este modelo forma parte de CEGRAM (Proyecto PID2022-140442NA-I00 financiado por MICIU/AEI/10.13039/501100011033/ y por FEDER, UE) e iCERAAM (Proyecto de Innovación docente: Ceramoteca medieval y moderna. Un instrumento docente y de divulgación. ICERAMM (PIB Tipo A nº 24-199), financiado por la Universidad de Granada)
DOI: 10.6084/m9.figshare.31289074
title: Curated_drug_information_BindingDB.tsv. An essential file for drug annotation in scDock.

description: Curated_drug_information_BindingDB.tsv is an essential file for the optional drug annotation step following molecular docking in scDock. This file was curated from BindingDB_All.tsv obtained from the BindingDB database (version 2026/02/05). Please refer to the instructions in our GitHub repository (https://github.com/Andrewneteye4343/scDock) for details on how to use this file.
DOI: 10.6084/m9.figshare.31289074.v1
title: Curated_drug_information_BindingDB.tsv. An essential file for drug annotation in scDock.

description: Curated_drug_information_BindingDB.tsv is an essential file for the optional drug annotation step following molecular docking in scDock. This file was curated from BindingDB_All.tsv obtained from the BindingDB database (version 2026/02/05). Please refer to the instructions in our GitHub repository (https://github.com/Andrewneteye4343/scDock) for details on how to use this file.
DOI: 10.5281/zenodo.18544393
title: micromeria_ericifolia_spades_02.fasta.gz
DOI: 10.5281/zenodo.18544392
title: micromeria_ericifolia_spades_02.fasta.gz
DOI: 10.15468/dl.4bcdt2
title: Occurrence Download

description: A dataset containing 157785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblyraja",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 157785 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002377-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18544352
title: MODERN TRENDS IN ENHANCING THE DIGITAL COMPETENCE OF SCHOOL TEACHERS IN OUR COUNTRY

description: This article examines the necessity of enhancing the digital skills of school teachers in Uzbekistan and explores modern educational trends. It highlights the benefits of integrating digital technologies into the educational process to increase students' engagement and academic performance. Additionally, the article analyzes ongoing initiatives aimed at equipping teachers with digital competencies through online courses, interactive tools, and national and international projects. These trends are evaluated as effective measures to prepare educators for the digital age and demonstrate their role in improving the quality of education in Uzbekistan.
DOI: 10.5281/zenodo.18544353
title: MODERN TRENDS IN ENHANCING THE DIGITAL COMPETENCE OF SCHOOL TEACHERS IN OUR COUNTRY

description: This article examines the necessity of enhancing the digital skills of school teachers in Uzbekistan and explores modern educational trends. It highlights the benefits of integrating digital technologies into the educational process to increase students' engagement and academic performance. Additionally, the article analyzes ongoing initiatives aimed at equipping teachers with digital competencies through online courses, interactive tools, and national and international projects. These trends are evaluated as effective measures to prepare educators for the digital age and demonstrate their role in improving the quality of education in Uzbekistan.
DOI: 10.5281/zenodo.18544394
title: DEVELOPING THE TECHNICAL AND TACTICAL PREPAREDNESS OF YOUNG WRESTLERS THROUGH THE USE OF AUXILIARY EXERCISES
DOI: 10.5281/zenodo.18544395
title: DEVELOPING THE TECHNICAL AND TACTICAL PREPAREDNESS OF YOUNG WRESTLERS THROUGH THE USE OF AUXILIARY EXERCISES
DOI: 10.5281/zenodo.18543694
title: Custom Dataset for ARTI-VIO

description: This dataset is designed for evaluating ARTI-VIO, an asynchronous multi-camera visual-inertial odometry framework. The dataset includes:





ROS Bags: Raw image data from multiple cameras, synchronized with IMU measurements, suitable for testing visual-inertial odometry algorithms.




Ground Truth: High-precision ground truth trajectory data, captured with a motion capture system, providing accurate pose estimates for benchmarking.




Camera and IMU Calibration Parameters: Calibration files for both the cameras and IMU, ensuring proper synchronization and accurate sensor fusion for VIO applications.
DOI: 10.5281/zenodo.18543695
title: Custom Dataset for ARTI-VIO

description: This dataset is designed for evaluating ARTI-VIO, an asynchronous multi-camera visual-inertial odometry framework. The dataset includes:





ROS Bags: Raw image data from multiple cameras, synchronized with IMU measurements, suitable for testing visual-inertial odometry algorithms.




Ground Truth: High-precision ground truth trajectory data, captured with a motion capture system, providing accurate pose estimates for benchmarking.




Camera and IMU Calibration Parameters: Calibration files for both the cameras and IMU, ensuring proper synchronization and accurate sensor fusion for VIO applications.
DOI: 10.6084/m9.figshare.31293430
title: nuclear gene set fasta

description: Raw data fasta for nuclear gene set
DOI: 10.6084/m9.figshare.31293430.v1
title: nuclear gene set fasta

description: Raw data fasta for nuclear gene set
DOI: 10.25824/redu/zehqgm
title: Pesquisa de infecção viral em pacientes com atresia biliar e relação com drenagem biliar após cirurgia de Kasai

description: Dados coletados a partir de prontuário e de pesquisa em laboratório de virologia para projeto de doutorado, sobre pesquisa de infecção viral em pacientes com atresia biliar e drenagem biliar após cirurgia de Kasai
DOI: 10.5281/zenodo.18544320
title: Conjunto de dados
DOI: 10.5281/zenodo.17297969
title: Conjunto de dados
DOI: 10.15468/dl.n2w52q
title: Occurrence Download

description: A dataset containing 2065001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is one of (Amaranthus retroflexus, Anethum graveolens, Agrostemma githago, Ambrosia artemisiifolia, Brassica carinata, Calendula officinalis, Capsella bursa-pastoris, Cardamine hirsuta, Carum carvi, Cerastium glomeratum, Chenopodium album, Cirsium arvense, Cichorium intybus, Cynodon dactylon, Crepis vesicaria, Convolvulus arvensis, Coriandrum sativum, Digitaria sanguinalis, Diplotaxis tenuifolia, Echinochloa crus-galli, Erigeron canadensis, Eleusine indica, Fagopyrum esculentum, Lolium arundinaceum, Festuca rubra, Foeniculum vulgare, Galeopsis tetrahit, Galinsoga quadriradiata, Glechoma hederacea, Geranium robertianum, Lamium maculatum, Lipandra polysperma, Lysimachia arvensis, Lolium perenne, Lolium multiflorum, Lotus corniculatus, Malva neglecta, Malva sylvestris, Medicago sativa, Melilotus officinalis, Onobrychis viciifolia, Oxalis stricta, Persicaria maculosa, Phacelia tanacetifolia, Phleum pratense, Plantago lanceolata, Plantago major, Poa pratensis, Poa annua, Polygonum aviculare, Portulaca oleracea, Potentilla reptans, Ranunculus repens, Raphanus raphanistrum, Rorippa sylvestris, Rumex acetosa, Senecio vulgaris, Setaria pumila, Sinapis alba, Stellaria media, Taraxacum officinale, Trifolium incarnatum, Trifolium pratense, Trifolium repens, Veronica persica, Viola arvensis, Vicia villosa, Trifolium alexandrinum, Panicum dichotomiflorum, Poa trivialis)"
 ]
}

 The dataset includes 2065001 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002440-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u87f3h
title: Occurrence Download

description: A dataset containing 186536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytolacca americana"
 ]
}

 The dataset includes 186536 records from 1480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002375-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5pf42
title: Occurrence Download

description: A dataset containing 55213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Teucrium montanum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55213 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260009-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtfe6w
title: Occurrence Download

description: A dataset containing 2201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex olbiensis Jord.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2201 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292428-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rct69m
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jasione cavanillesii C.Vicioso",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 77 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301063-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvwjsj
title: Occurrence Download

description: A dataset containing 13994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia nicaeensis All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13994 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260903-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxvcxv
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bellium crassifolium Moris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289318-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzmjcb
title: Occurrence Download

description: A dataset containing 4303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrella aspera (L.) Spach",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4303 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288379-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cbjzm
title: Occurrence Download

description: A dataset containing 390923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago lupulina L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 390923 records from 1043 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058131-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umt99v
title: Occurrence Download

description: A dataset containing 794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-134.14723 27.74421,-97.85277 27.74421,-97.85277 42.25579,-134.14723 42.25579,-134.14723 27.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eupompha elegans (LeConte, 1852)"
 ]
}

 The dataset includes 794 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083985-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxdx7g
title: Occurrence Download

description: A dataset containing 2414 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera bipinnata (Moc. & Sessé ex DC.) Engl."
 ]
}

 The dataset includes 2414 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083990-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juzc2d
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((140.6328 -11.71419,156.10716 -11.71419,156.10716 -2.79754,140.6328 -2.79754,140.6328 -11.71419))",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanotaenia lacustris Munro, 1964"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083987-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb3cfa
title: Occurrence Download

description: A dataset containing 1844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Froelichia floridana (Nutt.) Moq.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1844 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083971-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166584.10fu
title: SH0166584.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166585.10fu
title: SH0166585.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166586.10fu
title: SH0166586.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.