dataset_name stringlengths 2 128 | description stringlengths 1 9.7k | prompt stringlengths 59 185 |
|---|---|---|
A Dataset for Relation Extraction of Natural-Products | **A curated evaluation dataset for end-to-end Relation Extraction of relationships between organisms and natural-products.**
Details about the manual annotation:
* For Chemicals:
- The chemical labels are annotated as they appear in the abstract.
- In abstracts, singular chemicals and classes of che... | Provide a detailed description of the following dataset: A Dataset for Relation Extraction of Natural-Products |
Song Describer Dataset | The Song Describer Dataset (SDD) contains ~1.1k captions for 706 permissively licensed music recordings. It is designed for use in evaluation of models that address music-and-language (M&L) tasks such as music captioning, text-to-music generation and music-language retrieval. | Provide a detailed description of the following dataset: Song Describer Dataset |
GSAP-NER | A scholarly named entity recognition dataset with focus on machine learning models and datasets. | Provide a detailed description of the following dataset: GSAP-NER |
BatMobility Dataset | This is the dataset release for the ACM MobiCom 2023 paper "BatMobility: Towards Flying Without Seeing for Autonomous Drones".
* Project Website: batmobility.github.io
* Project Code: github.com/ConnectedSystemsLab/batmobility_ae
If you found this useful, please cite
@inproceedings{sie2023batmobility,
aut... | Provide a detailed description of the following dataset: BatMobility Dataset |
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval | The Multi-Eup is a new multilingual benchmark dataset, comprising 22K multilingual documents collected from the European Parliament, spanning 24 languages. This dataset is designed to investigate fairness in a multilingual information retrieval (IR) context to analyze both language and demographic bias in a ranking con... | Provide a detailed description of the following dataset: Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval |
HEADSET | The volumetric representation of human interactions is one of the fundamental domains in the development of immersive media productions and telecommunication applications. Particularly in the context of the rapid advancement of Extended Reality (XR) applications, this volumetric data has proven to be an essential techn... | Provide a detailed description of the following dataset: HEADSET |
NITEC | This paper introduces NITEC, a new dataset and models for detecting eye contact from an ego-centric camera perspective. The models are trained and tested on this dataset, demonstrating strong performance and cross-dataset generalization ability. NITEC contains over 35,000 manually annotated samples from diverse sources... | Provide a detailed description of the following dataset: NITEC |
AVQA | Audio-visual question answering aims to answer questions regarding both audio and visual modalities in a given video. For example, given a video showing a traffic intersection where the light turns red and the parking stick drops, and the question “why did the stick fall in the video?”, it requires to combine the visua... | Provide a detailed description of the following dataset: AVQA |
Heteroatom Doped Graphene Supercapacitor | Heteroatom doped graphene supercapacitor feature data is gathered from various literatures for use in machine learning tasks. Main motivation is to optimize supercapacitors and to gain knowledge into models for electrochemistry tasks. | Provide a detailed description of the following dataset: Heteroatom Doped Graphene Supercapacitor |
ARCADE | ARCADE: Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs Dataset Phase 2 consist of two folders with 300 images in each of them as well as annotations.
ARCADE: Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs Dataset Phase 1 consists ... | Provide a detailed description of the following dataset: ARCADE |
Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles | Studying how human drivers react differently when following autonomous vehicles (AV) vs. human-driven vehicles (HV) is critical for mixed traffic flow. This dataset contains extracted and enhanced two categories of car-following data, HV-following-AV (H-A) and HV-following-HV (H-H), from the open Lyft level-5 dataset. | Provide a detailed description of the following dataset: Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles |
X3D | X3D is a dataset containing 15 scenes and covering 4 applications for X-ray 3D reconstruction. More specifically, the X3D dataset includes the scenes of
(1) medicine: jaw, leg, chest, foot, abdomen, aneurism, pelvis, pancreas, head
(2) biology: carp, bonsai
(3) security: box, backpack
(4) industry: engine, teapot
... | Provide a detailed description of the following dataset: X3D |
Vision-Automatic-Band-Gap-Extractor-Data | Hyperspectral data for a MA/FA lead iodide perovskite gradient. | Provide a detailed description of the following dataset: Vision-Automatic-Band-Gap-Extractor-Data |
Vision-Stability-Measurement | Controlled 2-hour degradation optical time series data for a MA/FA lead iodide perovskite gradient. | Provide a detailed description of the following dataset: Vision-Stability-Measurement |
kitab | KITAB is a challenging dataset and a dynamic data collection approach for testing abilities of Large Language Models (LLMs) in answering information retrieval queries with constraint filters. A filtering query with constraints can be of the form "List all books written by Toni Morrison that were published between 1970-... | Provide a detailed description of the following dataset: kitab |
MID Intrinsics | Intrinsic component extension of MIT Multi-Illumination Dataset proposed in the paper "Intrinsic Image Decomposition via Ordinal Shading", [Chris Careaga](https://ccareaga.github.io/) and [Yağız Aksoy](https://yaksoy.github.io), ACM Transactions on Graphics, 2023
### [Project Page](https://yaksoy.github.io/MIDIntri... | Provide a detailed description of the following dataset: MID Intrinsics |
EyeInfo | The EyeInfo Dataset is an open-source eye-tracking dataset created by Fabricio Batista Narcizo, a research scientist at the IT University of Copenhagen (ITU) and GN Audio A/S (Jabra), Denmark. This dataset was introduced in the paper "High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods" (DOI: 10.... | Provide a detailed description of the following dataset: EyeInfo |
PsyMo | Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psychological theory of embodiment. To date, attempts to tackle this problem have utilized private small-scale datasets with intrusive body-attac... | Provide a detailed description of the following dataset: PsyMo |
PhoCAL | Object pose estimation is crucial for robotic applications and augmented reality. To provide a benchmark with high-quality ground truth annotations to the community, we introduce a multimodal dataset for category-level object pose estimation with photometrically challenging objects termed PhoCaL. PhoCaL comprises 60 hi... | Provide a detailed description of the following dataset: PhoCAL |
Test-of-Time | The goal of this dataset is to probe video-language models for understanding of simple temporal relations like "before" and "after". The dataset is only meant to be an evaluation set and not a training set.
Contents:
1. The dataset has synthetic videos which consists of a pair of shapes appearing gradually. For e... | Provide a detailed description of the following dataset: Test-of-Time |
Beijing Traffic | The Beijing Traffic Dataset collects traffic speeds at 5-minute granularity for 3126 roadway segments in Beijing between 2022/05/12 and 2022/07/25. | Provide a detailed description of the following dataset: Beijing Traffic |
dockstring | Regression dataset for molecular docking scores (predicted molecule-protein binding affinity). Contains ~250,000 molecules against 58 protein targets. | Provide a detailed description of the following dataset: dockstring |
ITALIC | **ITALIC: An ITALian Intent Classification Dataset**
ITALIC is an intent classification dataset for the Italian language, which is the first of its kind.
It includes spoken and written utterances and is annotated with 60 intents.
The dataset is available on [Zenodo](https://zenodo.org/record/8040649) and connect... | Provide a detailed description of the following dataset: ITALIC |
Jam-ALT | JamALT is a revision of the JamendoLyrics dataset (80 songs in 4 languages), adapted for use as an automatic lyrics transcription (ALT) benchmark.
The lyrics have been revised according to the newly compiled [annotation guide](https://huggingface.co/datasets/audioshake/jam-alt/blob/main/GUIDELINES.md), which include... | Provide a detailed description of the following dataset: Jam-ALT |
InfantMarmosetsVox | InfantMarmosetsVox is a dataset for multi-class call-type and caller identification. It contains audio recordings of different individual marmosets and their call-types. The dataset contains a total of 350 files of precisely labelled 10-minute audio recordings across all caller classes. The audio was recorded from five... | Provide a detailed description of the following dataset: InfantMarmosetsVox |
Wikidata5M-SI | Semi-inductive link prediction (LP) in knowledge graphs (KG) is the task of predicting facts for new, previously unseen entities based on context information. Although new entities can be integrated by retraining the model from scratch in principle, such an approach is infeasible for large-scale KGs, where retraining i... | Provide a detailed description of the following dataset: Wikidata5M-SI |
CORE-MM | Multi-modal Large Language Models (MLLMs) are increasingly prominent in the field of artificial intelligence. Although many benchmarks attempt to holistically evaluate MLLMs, they typically concentrate on basic reasoning tasks, often yielding only simple yes/no or multi-choice responses. These methods naturally lead to... | Provide a detailed description of the following dataset: CORE-MM |
MGSM8KInstruct | MGSM8KInstruct, the multilingual math reasoning instruction dataset, encompassing ten distinct languages, thus addressing the issue of training data scarcity in multilingual math reasoning. | Provide a detailed description of the following dataset: MGSM8KInstruct |
FedNLP | We collect the various forms of Federal Reserve communications.
- fomc_doc: FOMC post-meeting statements, Minutes, and press conferences. (122 docs)
- speaker_doc: FOMC members’ speeches from over 30 different websites. (1300 docs)
- period: Jan 2015 - Jul 2020 | Provide a detailed description of the following dataset: FedNLP |
AV-Deepfake1M | The detection and localization of highly realistic deepfake audio-visual content are challenging even for the most advanced state-of-the-art methods. While most of the research efforts in this domain are focused on detecting high-quality deepfake images and videos, only a few works address the problem of the localizati... | Provide a detailed description of the following dataset: AV-Deepfake1M |
formalgeo7k | 6981 SAT-level geometry problem with complete natural language description, geometric shapes, formal language annotations, and theorem sequences annotations. | Provide a detailed description of the following dataset: formalgeo7k |
formalgeo-imo | IMO-level geometry problem with complete natural language description, geometric shapes, formal language annotations, and theorem sequences annotations. | Provide a detailed description of the following dataset: formalgeo-imo |
CARE | https://drive.google.com/file/d/1X_JTfD8Ch-IxmG5VHtKk_xGZT336Fl1Q/view?usp=drive_link | Provide a detailed description of the following dataset: CARE |
InHARD | We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from 16 distinct subjects. This dataset contains 13 different industrial action classes and over 4800 action samples. The intr... | Provide a detailed description of the following dataset: InHARD |
XinhuaHallucinations | XinhuaHallucinations is part of UHGEval benchmark, it contains over 5000 news items. It can be used in hallucination evaluation or detection tasks. | Provide a detailed description of the following dataset: XinhuaHallucinations |
BurnMD | A dataset composed of 308 medium sized fires from the years 2018-2021, complete with both time series airborne based inference and ground operational estimation of fire extent, and operational mitigation data such as control line construction. | Provide a detailed description of the following dataset: BurnMD |
AK_FRAEX - Azure Kinect Frame Extractor demo videos | Video samples recorded in the field using the Azure Kinect DK. These videos are part of the AK-FRAEX software to demonstrate the use of frame extraction tasks. Visit the project site:
https://pypi.org/project/ak-frame-extractor
https://github.com/GRAP-UdL-AT/ak_frame_extractor
Explanations about the reco... | Provide a detailed description of the following dataset: AK_FRAEX - Azure Kinect Frame Extractor demo videos |
cryoPPP | The CryoPPP dataset consists of 34 ground truth data and metadata for 335 EMPIAR IDs. The ground truth data is comprised of a variety of 9893 Micrographs (~300 cryo-EM images per EMPIAR ID) with manually curated ground truth coordinates of picked protein particles. The metadata consists of 1,698,802 high-resolution mic... | Provide a detailed description of the following dataset: cryoPPP |
BUPTCampus | BUPTCampus is a video-based visible-infrared dataset with approximately pixel-level aligned tracklet pairs and single-camera auxiliary samples. | Provide a detailed description of the following dataset: BUPTCampus |
BHSD | Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors. Identifying, localizing and quantifying ICH has important clinical implications, in a bleed-dependent manner. While deep learning techniques are widely used in medic... | Provide a detailed description of the following dataset: BHSD |
ITCPR dataset | The ITCPR dataset is a comprehensive collection specifically designed for the Zero-Shot Composed Person Retrieval (ZS-CPR) task. It consists of a total of 2,225 annotated triplets, derived from three distinct datasets: Celeb-reID, PRCC, and LAST. | Provide a detailed description of the following dataset: ITCPR dataset |
Tripadvisor Restaurant Reviews | Dataset of restaurant reviews from TripAdvisor that includes images and texts uploaded in reviews by users. Reviews in six different cities are included: Gijón (Spain), Barcelona (Spain), Madrid (Spain), New York City (USA), Paris (France) and London (United Kingdom). In the [original publication](https://www.scienced... | Provide a detailed description of the following dataset: Tripadvisor Restaurant Reviews |
ULS labeled data | UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana). Four flights conducted over one ha plot in 2021 and 2022.
Leaf wood labels were transferred from contemporaneous (2021) TLS acquisition, for which segmentation was done using LeWoS and onscreen post correction.
Predicted values usi... | Provide a detailed description of the following dataset: ULS labeled data |
First HAREM | HAREM, an initiative by Linguateca, boasts a Golden Collection—a meticulously curated repository of annotated Portuguese texts. This resource serves as a pivotal benchmark for evaluating systems in recognizing mentioned entities within documents. It stands as a cornerstone, supporting advancements and innovations in Po... | Provide a detailed description of the following dataset: First HAREM |
withoutbg100 dataset | The withoutbg100 dataset consists of 100 image and alpha matte pairs. These pairs are chosen to represent a wide range of subjects and complexities, specifically crafted to enhance and test the capabilities of image background removal algorithms. The dataset includes images with complex elements such as fur and objects... | Provide a detailed description of the following dataset: withoutbg100 dataset |
MusicBench | The MusicBench dataset is a music audio-text pair dataset that was designed for text-to-music generation purpose and released along with Mustango text-to-music model. MusicBench is based on the MusicCaps dataset, which it expands from 5,521 samples to 52,768 training and 400 test samples!
Dataset Details
MusicBench... | Provide a detailed description of the following dataset: MusicBench |
Various URL Datasets | ## Various URL Datasets
These are collections of URLs for benchmarking purposes.
- files/node_files.txt: all source files from a given Node.js snapshot as URLs (43415 URLs).
- files/linux_files.txt: all files from a Linux systems as URLs (169312 URLs).
- wikipedia/wikipedia_100k.txt: 100k URLs from a snapshot ... | Provide a detailed description of the following dataset: Various URL Datasets |
NPO | The dataset is recorded with an on-vehicle ZED stereo camera in both urban and rural environments
The dataset contains various lighting conditions, such as normal lights, large-area shadows, dim lights, and sun glare. There are also different weather conditions, such as sunny, cloudy, and
snowy.
Negative obstacl... | Provide a detailed description of the following dataset: NPO |
NC4K | As far as we know, there only exists one large camouflaged object testing dataset, the COD10K, while the sizes of other testing datasets are less than 300. We then contribute another camouflaged object testing dataset, namely NC4K, which includes 4,121 images downloaded from the Internet. The new testing dataset can be... | Provide a detailed description of the following dataset: NC4K |
COD10K | Sensory ecologists have found that this s background matching camouflage strategy works by deceiving the visual perceptual system of the observer. Naturally, addressing concealed object detection (COD) requires a significant amount of visual perception knowledge. Understanding COD has not only scientific value in itsel... | Provide a detailed description of the following dataset: COD10K |
CHAMELEON | Camouflage strategies in nature are evolutionarily developed concealment techniques for survival in both predator and prey species. They are intended to delay or even avoid observation or detection by other animals. These are crypsis, mimicry which can rely on vision, odor, sound and behavior. Here, the term crypsis re... | Provide a detailed description of the following dataset: CHAMELEON |
Camouflaged Animal Dataset | The nine (moving camera) videos in this benchmark exhibit camouflaged animals that are difficult to see in a single frame, but can be detected based upon their motion across frames. | Provide a detailed description of the following dataset: Camouflaged Animal Dataset |
MoCA-Mask | The original Moving Camouflaged Animals (MoCA) Dataset includes 37K frames from 141 YouTube Video sequences with resolution and sampling rate of 720 × 1280 and 24fps in the majority of cases. The dataset covers 67 types of animals moving in natural scenes, but some are not camouflaged animals. Also, the ground truth o... | Provide a detailed description of the following dataset: MoCA-Mask |
LinkedPapersWithCode | An RDF knowledge graph that provides comprehensive, current information about almost 400,000 machine learning publications. This includes the tasks addressed, the datasets utilized, the methods implemented, and the evaluations conducted, along with their results. Compared to its non-RDF-based counterpart Papers With Co... | Provide a detailed description of the following dataset: LinkedPapersWithCode |
ClustMe and ClustML data S1 and S2 | Code and datasets S1 and S2 used in the paper ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. Computer Graphics Forum 38(3): 225-236 (2019) and to appear in ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings, to appear in... | Provide a detailed description of the following dataset: ClustMe and ClustML data S1 and S2 |
Second HAREM | The Second HAREM was an evaluation exercise in Portuguese Named Entity Recognition. It aims to refine text annotation processes, building on the First HAREM. Challenges include adapting guidelines for new texts and establishing a unified document with directives from both editions. | Provide a detailed description of the following dataset: Second HAREM |
Mini HAREM | The MiniHAREM, a reiteration of the 2005 evaluation, used the same methodology and platform. Held from April 3rd to 5th, 2006, it offered participants a 48-hour window to annotate, verify, and submit text collections. Results are available, and the collection used is accessible. Participant lists, submitted outputs, an... | Provide a detailed description of the following dataset: Mini HAREM |
CLCXray | The CLCXray dataset contains 9,565 X-ray images, in which 4,543 X-ray images (real data) are obtained from the real subway scene and 5,022 X-ray images (simulated data) are scanned from manually designed baggage. There are 12 categories in the CLCXray dataset, including 5 types of cutters and 7 types of liquid containe... | Provide a detailed description of the following dataset: CLCXray |
EuroSAT-SAR | A SAR version of the EuroSAT dataset. The images were collected from Sentinel-1 GRD products (two bands VV and VH) based on the geocoordinates of the EuroSAT images. | Provide a detailed description of the following dataset: EuroSAT-SAR |
EA-HAS-Bench | We present the first large-scale energy-aware benchmark that allows studying AutoML methods to achieve better trade-offs between performance and search energy consumption, named EA-HAS-Bench. EA-HAS-Bench provides a large-scale architecture/hyperparameter joint search space, covering diversified configurations related ... | Provide a detailed description of the following dataset: EA-HAS-Bench |
SIGARRA News Corpus | This dataset was taken from the SIGARRA information system at the University of Porto (UP). Every organic unit has its own domain and produces academic news. We collected a sample of 1000 news, manually annotating 905 using the Brat rapid annotation tool. This dataset consists of three files. The first is a CSV file co... | Provide a detailed description of the following dataset: SIGARRA News Corpus |
PropBank-PT | The PropBankPT (Branco et al., 2012) is a set of sentences annotated with their constituency structure and semantic role tags, composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal translated.
For the creation of this PropBank we adopted a semi-automatic analysis with a double-blind annotatio... | Provide a detailed description of the following dataset: PropBank-PT |
Representative PDE Benchmarks | Given the lack of consensus on a standard setof benchmarks for machine learning of PDEs, we propose a new suite of benchmarks here. Our aims in this regard are to ensure
i) sufficient diversity among the types of PDE considered
ii) access to training and test data is readily available for rapid prototyping and repro... | Provide a detailed description of the following dataset: Representative PDE Benchmarks |
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