FQL-driving

FlyingThings3D is a synthetic dataset for optical flow, disparity and scene flow estimation. It consists of everyday objects flying along …

Multi-view Emotional Audio-visual Dataset

Music21 is an untrimmed video dataset crawled by keyword query from Youtube. It contains music performances belonging to 21 categories. …

ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with …

Charts are very popular for analyzing data. When exploring charts, people often ask a variety of complex reasoning questions that …

PlotQA is a VQA dataset with 28.9 million question-answer pairs grounded over 224,377 plots on data from real-world sources and …

RealCQA Scientific Chart Question Answering as a Test-bed for First-Order Logic check on huggingface : https://huggingface.co/datasets/sal4ahm/RealCQA

Data Set Information: Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records …

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-1M Insect …

The purpose of this dataset was to study gender bias in occupations. Online biographies, written in English, were collected to …

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are …

This dataset is a combination of the following three datasets : figshare, SARTAJ dataset and Br35H This dataset contains 7022 …

The quality of AI-generated images has rapidly increased, leading to concerns of authenticity and trustworthiness. CIFAKE is a dataset that …

The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists …

Common corruptions dataset for CIFAR10

Contains hundreds of frontal view X-rays and is the largest public resource for COVID-19 image and prognostic data, making it …

Data was collected for normal bearings, single-point drive end and fan end defects. Data was collected at 12,000 samples/second and …

The normal chest X-ray (left panel) depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia …

We construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across …

A public data set of walking full-body kinematics and kinetics in individuals with Parkinson’s disease

HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile …

The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. …

The IRFL dataset consists of idioms, similes, and metaphors with matching figurative and literal images, as well as two novel …

The goal for ISIC 2019 is classify dermoscopic images among nine different diagnostic categories.25,331 images are available for training across …

This dataset was presented as part of the ICLR 2023 paper 𝘈 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘧𝘰𝘳 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘪𝘯𝘨 𝘊𝘭𝘢𝘴𝘴-𝘰𝘶𝘵-𝘰𝘧-𝘥𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘰𝘯 𝘥𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘪𝘵𝘴 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 …

Dataset Introduction In this work, we introduce the In-Diagram Logic (InDL) dataset, an innovative resource crafted to rigorously evaluate the …

This data set comprises 22 fundus images with their corresponding manual annotations for the blood vessels, separated as arteries and …

The Liver-US dataset is a comprehensive collection of high-quality ultrasound images of the liver, including both normal and abnormal cases. …

The minimalist histopathology image analysis dataset (MHIST) is a binary classification dataset of 3,152 fixed-size images of colorectal polyps, each …

The process by which sections in a document are demarcated and labeled is known as section identification. Such sections are …

MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect …

Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. …

A large real-world event-based dataset for object classification. Source: HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification

The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset. The dataset is obtained by moving an event camera …

The RITE (Retinal Images vessel Tree Extraction) is a database that enables comparative studies on segmentation or classification of arteries …

he RSSCN7 dataset contains satellite images acquired from Google Earth, which is originally collected for remote sensing scene classification. We …

The Recognizing Textual Entailment (RTE) datasets come from a series of textual entailment challenges. Data from RTE1, RTE2, RTE3 and …

The Schema-Guided Dialogue (SGD) dataset consists of over 20k annotated multi-domain, task-oriented conversations between a human and a virtual assistant. …

This dataset is based on the Spiking Heidelberg Digits (SHD) dataset. Sample inputs consist of two spike encoded digits sampled …

The SPOTS-10 dataset is an extensive collection of grayscale images showcasing diverse patterns found in ten animal species. Specifically, SPOTS-10 …

The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the …

Sentiment140 is a dataset that allows you to discover the sentiment of a brand, product, or topic on Twitter. Source: …

This dataset consists of computer-generated images for gas leakage segmentation. It features diverse backgrounds, interfering foreground objects, and precise ground …

arxiv : https://arxiv.org/abs/2304.11708 Accepted at 29th International Congress on Sound and Vibration (ICSV29). The drone has been used for various …

Table-ACM12K (TACM12K) is a relational table dataset derived from the ACM heterogeneous graph dataset. It includes four tables: papers, authors, …

Table-LastFm2K (TLF2K) is a relational table dataset derived from the classical LastFM2K dataset. It contains three tables: artists, user_artists, and …

Table-MovieLens1M (TML1M) is a relational table dataset derived from the classical MovieLens1M dataset. It consists of three tables: users, movies, …

The Winograd Schema Challenge was introduced both as an alternative to the Turing Test and as a test of a …

WiC is a benchmark for the evaluation of context-sensitive word embeddings. WiC is framed as a binary classification task. Each …

Enlarge the dataset to understand how image background effect the Computer Vision ML model. With the following topics: Blur Background …

Defects4J is a collection of reproducible bugs and a supporting infrastructure with the goal of advancing software engineering research. Defects4J …

DotPrompts is a set of testcases derived from PragmaticCode, such that each testcase consists of a prompt to a dereference …

Syntax-Aware Fill-in-the-Middle (SAFIM) is a benchmark for evaluating Large Language Models (LLMs) on the code Fill-in-the-Middle (FIM) task. SAFIM has …

The CodeSearchNet Corpus is a large dataset of functions with associated documentation written in Go, Java, JavaScript, PHP, Python, and …

The APPS dataset consists of problems collected from different open-access coding websites such as Codeforces, Kattis, and more. The APPS …

A new large dataset with over 100,000 examples consisting of Java classes from online code repositories, and develop a new …

The CMU CoNaLa, the Code/Natural Language Challenge dataset is a joint project from the Carnegie Mellon University NeuLab and Strudel …

The CoNaLa Extended With Question Text is an extension to the original CoNaLa Dataset (Papers With Code Link) proposed in …

CodeContests is a competitive programming dataset for machine-learning. This dataset was used when training AlphaCode. It consists of programming problems, …

In this paper, we introduce a novel benchmarking framework designed specifically for evaluations of data science agents. Our contributions are …

The Django dataset is a dataset for code generation comprising of 16000 training, 1000 development and 1805 test annotations. Each …

the FloCo dataset that contains 11,884 flowchart images and their corresponding Python codes.

This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained …

Extension test cases of HumanEval, as well as generated code.

The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry-level programmers, covering programming fundamentals, …

Extension test cases of MBPP, as well as generated code.

Recent advancements in large language models (LLMs) have showcased their exceptional abilities across various tasks, such as code generation, problem-solving …

RES-Q is a natural language instruction-based benchmark for evaluating $\textbf{R}$epository $\textbf{E}$diting $\textbf{S}$ystems, which consists of 100 handcrafted repository editing tasks …

Shellcode_IA32 is a dataset containing 20 years of shellcodes from a variety of sources is the largest collection of shellcodes …

TACO (Topics in Algorithmic Code generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more …

$\textbf{Turbulence}$ is a new benchmark for systematically evaluating the correctness and robustness of instruction-tuned large language models (LLMs) for code …

Verified Smart Contracts Code Comments is a dataset of real Ethereum smart contract functions, containing "code, comment" pairs of both …

VerilogEval Dataset The VerilogEval Dataset is a benchmark specifically designed to assess the ability of large language models (LLMs) …

Test-driven benchmark to challenge LLMs to write JavaScript React application GitHub Script

Test-driven benchmark to challenge LLMs to write long JavaScript React application GitHub Script

WikiSQL consists of a corpus of 87,726 hand-annotated SQL query and natural language question pairs. These SQL queries are further …

CoDesc is a large dataset of 4.2m Java source code and parallel data of their description from code search, and …

CoIR (Code Information Retrieval) benchmark, is designed to evaluate code retrieval capabilities. CoIR includes 10 curated code datasets, covering 8 …

The CodeSearchNet Corpus is a large dataset of functions with associated documentation written in Go, Java, JavaScript, PHP, Python, and …

We scraped the 53 most popular C# repositories from GitHub and extracted all commits since the beginning of the project’s …

AIOZ-GDANCE comprises 16.7 hours of whole-body motion and music audio of group dancing. The duration of each video in our …

AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music. The AIST++ Dance …

BRACE is a dataset for audio-conditioned dance motion synthesis challenging common assumptions for this task: - strong music-dance correlation - …

Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the …

HumanAct12 is a new 3D human motion dataset adopted from the polar image and 3D pose dataset PHSPD, with proper …

HumanML3D is a 3D human motion-language dataset that originates from a combination of HumanAct12 and Amass dataset. It covers a …

Inter-X is a large-scale dataset containing ~11K interaction sequences, more than 8.1M frames and 34K fine-grained human textual descriptions.

InterHuman is a multimodal dataset, named InterHuman. It consists of about 107M frames for diverse two-person interactions, with accurate skeletal …

The KIT Motion-Language is a dataset linking human motion and natural language. Source: The KIT Motion-Language Dataset

Ubisoft La Forge Animation Dataset ("LAFAN1") Ubisoft La Forge Animation dataset and accompanying code for the SIGGRAPH 2020 paper …

Motion-X is a large-scale 3D expressive whole-body motion dataset, which comprises 15.6M precise 3D whole-body pose annotations (i.e., SMPL-X) covering …

The Text-Music-Dance (TMD) dataset establishes a pioneering benchmark comprising 2,153 text-music-motion pairs. Dance motions and corresponding text annotations are sourced …

Trinity Gesture Dataset includes 23 takes, totalling 244 minutes of motion capture and audio of a male native English speaker …

The CIFAR-10 database (Canadian Institute For Advanced Research database) is a large collection of natural color images. It has a …

The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has …

A human-refined dataset of OpenAPI definitions based on the APIs.guru OpenAPI directory. The dataset was collected from the APIs.guru OpenAPI …

4D-DRESS is the first real-world 4D dataset of human clothing, capturing 64 human outfits in more than 520 motion sequences. …

DeepFix consists of a program repair dataset (fix compiler errors in C programs). It enables research around automatically fixing programming …

Repair AST parse (syntax) errors in Python code

HumanEvalPack is an extension of OpenAI's HumanEval to cover 6 total languages across 3 tasks. The evaluation suite is fully …

Procgen Benchmark includes 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns …

In this work, we propose a novel remote sensing dataset, FireRisk, consisting of 7 fire risk classes with a total …

WikiSQL consists of a corpus of 87,726 hand-annotated SQL query and natural language question pairs. These SQL queries are further …

We release expert-made scribble annotations for the medical ACDC dataset [1]. The released data must be considered as extending the …

The ADE20K semantic segmentation dataset contains more than 20K scene-centric images exhaustively annotated with pixel-level objects and object parts labels. …

AI-TOD comes with 700,621 object instances for eight categories across 28,036 aerial images. Compared to existing object detection datasets in …

The AIRS (Aerial Imagery for Roof Segmentation) dataset provides a wide coverage of aerial imagery with 7.5 cm resolution and …

ATLANTIS is a benchmark for semantic segmentation of waterbody images. This dataset covers a wide range of natural waterbodies such …

ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China …

A high-resolution semantic segmentation dataset with 50 validation and 100 test objects. Image resolution in BIG ranges from 2048×1600 to …

The dataset offers tag and mask annotations for image-text pairs from the CC3M validation set. Tag annotations denote words that …

The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil. The dataset …

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to …

The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and …

The dataset contains two subsets of synthetic, semantically segmented road-scene images, which have been created for developing and applying the …

CamVid (Cambridge-driving Labeled Video Database) is a road/driving scene understanding database which was originally captured as five video sequences with …

Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense …

Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. …

The training and validation data are subsets of the training split of the Cityscapes dataset. The test set is taken …

DADA-seg is a pixel-wise annotated accident dataset, which contains a variety of critical scenarios from traffic accidents. It is used …

DDD17 has over 12 h of a 346x260 pixel DAVIS sensor recording highway and city driving in daytime, evening, night, …

DELIVER is an arbitrary-modal segmentation benchmark, covering Depth, LiDAR, multiple Views, Events, and RGB. Aside from this, the dataset is …

The database consists of 150 annotated pages of three different medieval manuscripts with challenging layouts. Furthermore, we provide a layout …

DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global …

Dark Zurich is an image dataset containing a total of 8779 images captured at nighttime, twilight, and daytime, along with …

DensePASS - a novel densely annotated dataset for panoramic segmentation under cross-domain conditions, specifically built to study the Pinhole-to-Panoramic transfer …

From DroneDeploy: We’ve collected a dataset of aerial orthomosaics and elevation images. These have been annotated into 6 different classes: …

Cholecystectomy is a very common abdominal surgical procedure almost ubiquitously performed with a laparoscopic approach, hence guided by an endoscopic …

The French National Institute of Geographical and Forest Information (IGN) has the mission to document and measure land-cover on French …

FMB contains 1500 well-registered infrared and visible image pairs with 14 annotated pixel-level categories. Also, it covers a wide range …

The dataset consists of 96 terrain-corrected (Level-1T) scenes from Landsat 8 OLI and TIRS, covering diverse biomes. This variety supports …

The dataset was created using high-resolution (8 m) satellite imagery from the Gaofen series (Gaofen-2 and Gaofen-6), captured in 2019 …

FoodSeg103 is a new food image dataset containing 7,118 images. Images are annotated with 104 ingredient classes and each image …

This dataset is made up of forward-looking sonar images containing ten classes of underwater debris. The dataset can be used …

The Freiburg Forest dataset was collected using a Viona autonomous mobile robot platform equipped with cameras for capturing multi-spectral and …

HAM10000 is a dataset of 10000 training images for detecting pigmented skin lesions. The authors collected dermatoscopic images from different …

This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South …

For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. …

The INRIA Aerial Image Labeling dataset is comprised of 360 RGB tiles of 5000×5000px with a spatial resolution of 30cm/px …

The data set contains 38 patches (of the same size), each consisting of a true orthophoto (TOP) extracted from a …

The data set contains 33 patches (of different sizes), each consisting of a true orthophoto (TOP) extracted from a larger …

Powered by the ImageNet dataset, unsupervised learning on large-scale data has made significant advances for classification tasks. There are two …

KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations. It is the successor of the popular …

Consists of annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc. Beside of the images, …

This dataset contains simulated and expert-labelled spectrograms from two radio telescopes: the Hydrogen Epoch of Reionization Array (HERA) in South …

LaRS is the largest and most diverse panoptic maritime obstacle detection dataset. Highlights: * Diverse scenes from manual capture, public …

1. 5987 high spatial resolution (0.3 m) remote sensing images from Nanjing, Changzhou, and Wuhan 2. Focus on different geographical …

Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes. Each scene has images for four …

Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes. Each scene has images for four …

MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types …

The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside …

Mila Simulated Floods Dataset is a 1.5 square km virtual world using the Unity3D game engine including urban, suburban and …

MixedWM38 Dataset(WaferMap) has more than 38000 wafer maps, including 1 normal pattern, 8 single defect patterns, and 29 mixed defect …

X-ray images in this data set have been acquired from the tuberculosis control program of the Department of Health andHuman …

Nighttime Driving is a dataset of road scenes consisting of 35,000 images ranging from daytime to twilight time and to …

OpenEDS (Open Eye Dataset) is a large scale data set of eye-images captured using a virtual-reality (VR) head mounted display …

The PASCAL Context dataset is an extension of the PASCAL VOC 2010 detection challenge, and it contains pixel-wise labels for …

The PASCAL Visual Object Classes (VOC) 2012 dataset contains 20 object categories including vehicles, household, animals, and other: aeroplane, bicycle, …

PASCAL VOC 2007 is a dataset for image recognition. The twenty object classes that have been selected are: Person: person …

PASCAL VOC 2011 is an image segmentation dataset. It contains around 2,223 images for training, consisting of 5,034 objects. Testing …

SCC Data Set

PASTIS is a benchmark dataset for panoptic and semantic segmentation of agricultural parcels from satellite image time series. It is …

Extension of the PASTIS benchmark with radar and optical image time series.

PETRAW data set was composed of 150 sequences of peg transfer training sessions. The objective of the peg transfer session …

The increasing incidence of melanoma has recently promoted the development of computer-aided diagnosis systems for the classification of dermoscopic images. …

This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets …

https://paperswithcode.com/sota/semantic-segmentation-on-isprs-potsdam

A Video Dataset for Visual Perception and Autonomous Navigation in Unstructured Environments. Website: http://rugd.vision/ The RUGD dataset focuses on semantic …

The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean …

The Stanford 3D Indoor Scene Dataset (S3DIS) dataset contains 6 large-scale indoor areas with 271 rooms. Each point in the …

The SBCoseg dataset includes 889 groups of images and each group consists of 18 images with a common object, leading …

The STARE (Structured Analysis of the Retina) dataset is a dataset for retinal vessel segmentation. It contains 20 equal-sized (700×605) …

The SWIMSEG dataset contains 1013 images of sky/cloud patches, along with their corresponding binary segmentation maps. The ground truth annotation …

The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps. The ground …

The SWINySEG dataset contains 6768 daytime- and nighttime-images of sky/cloud patches along with their corresponding binary ground truth maps. The …

The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and …

ScanNet is an instance-level indoor RGB-D dataset that includes both 2D and 3D data. It is a collection of labeled …

Semantic3D is a point cloud dataset of scanned outdoor scenes with over 3 billion points. It contains 15 training and …

The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances. …

ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the …

SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, …

Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground …

A large-scale dataset for transparent object segmentation, named Trans10K, consisting of 10,428 images of real scenarios with carefully manual annotations, …

UAVid is a high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving …

UPLight is an underwater RGB-Polarization multimodal semantic segmentation dataset with 12 typical underwater semantic classes.

Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential seman- tic details to …

WildDash is a benchmark evaluation method is presented that uses the meta-information to calculate the robustness of a given algorithm …

Research on semantic segmentation of traffic scenes using color and polarization information (including training and testing sets).

iSAID contains 655,451 object instances for 15 categories across 2,806 high-resolution images. The images of iSAID is the same as …

CoDesc is a large dataset of 4.2m Java source code and parallel data of their description from code search, and …

The CodeSearchNet Corpus is a large dataset of functions with associated documentation written in Go, Java, JavaScript, PHP, Python, and …

The Java dataset introduced in DeepCom (Deep Code Comment Generation), commonly used to evaluate automated code summarization.

The Java dataset introduced in Hybrid-DeepCom (Deep code comment generation with hybrid lexical and syntactical information), commonly used to evaluate …

The Python dataset introduced in the Parallel Corpus paper ([A Parallel Corpus of Python Functions and Documentation Strings for Automated …

CNN/Daily Mail is a dataset for text summarization. Human generated abstractive summary bullets were generated from news stories in CNN …

COCO Captions contains over one and a half million captions describing over 330,000 images. For the training and validation images, …

CSL is a synthetic dataset introduced in Murphy et al. (2019) to test the expressivity of GNNs. In particular, graphs …

CommonGen is constructed through a combination of crowdsourced and existing caption corpora, consists of 79k commonsense descriptions over 35k unique …

Czech restaurant information is a dataset for NLG in task-oriented spoken dialogue systems with Czech as the target language. It …

DART is a large dataset for open-domain structured data record to text generation. DART consists of 82,191 examples across different …

DailyDialog is a high-quality multi-turn open-domain English dialog dataset. It contains 13,118 dialogues split into a training set with 11,118 …

Paper | Github | Dataset| Model As a part of our research efforts toward making LLMs more safe for public …

LCSTS is a large corpus of Chinese short text summarization dataset constructed from the Chinese microblogging website Sina Weibo, which …

OpenWebText is an open-source recreation of the WebText corpus. The text is web content extracted from URLs shared on Reddit …

ROCStories is a collection of commonsense short stories. The corpus consists of 100,000 five-sentence stories. Each story logically follows everyday …

ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other. The dataset consists of …

The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in …

BIRD (BIg Bench for LaRge-scale Database Grounded Text-to-SQL Evaluation) represents a pioneering, cross-domain dataset that examines the impact of extensive …

KaggleDBQA is a challenging cross-domain and complex evaluation dataset of real Web databases, with domain-specific data types, original formatting, and …

SEDE is a dataset comprised of 12,023 complex and diverse SQL queries and their natural language titles and descriptions, written …

SParC is a large-scale dataset for complex, cross-domain, and context-dependent (multi-turn) semantic parsing and text-to-SQL task (interactive natural language interfaces …

SQL-Eval is an open-source PostgreSQL evaluation dataset released by Defog, constructed based on Spider. The original link can be found …

Spider 2.0 is a comprehensive code generation agent task that includes 632 examples. The agent has to interactively explore various …

Type Inference dataset for TypeScript. Click on DOI tag for dataset files.