datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Home-Assistant-requests-for-intent-detection-and-function-recognition
Home Assistant Requests V2 Dataset
This dataset contains a list of requests and responses for a user interacting with a personal assistant that controls an instance of Home Assistant.
The updated V2 of the dataset is now multilingual, containing data in English, German, French, Spanish, and Polish. The dataset also contains multiple "personalities" for the assistant to respond in, such as a formal assistant, a sarcastic assistant, and a friendly assistant. Lastly, the dataset has… See the full description on the dataset page: https://huggingface.co/datasets/DaftP/Home-Assistant-requests-for-intent-detection-and-function-recognition.entity_recognition
Data for the NERMuD shared task (Evalita 2023)
This data is the one used for the NERMuD shared task organized
at Evalita 2023.
The dataset contains the Wikinews, fiction, and De Gasperi subsets of KIND, where test data is used for development.
Content of the dataset
Split
Sentences
wn_train
10,912
wn_dev
2,594
wn_test
2,088
fic_train11,423
fic_dev
1,051
fic_test
1,517
adg_train
5,147
adg_dev
1,122
adg_test
521
Set
Sentences… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/entity_recognition.Fence-Climbing-Action-Recognition-Dataset
Fence Climbing Action Recognition Dataset
The current security industry faces challenges from people climbing over walls, fences, and other security hazards. Traditional surveillance methods often cannot timely and effectively recognize these abnormal behaviors. Existing solutions are insufficient in the accuracy and real-time detection of actions, resulting in the inability to quickly respond to potential dangers. This dataset aims to support the training of action recognition… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Fence-Climbing-Action-Recognition-Dataset.repro-rethinking-genomic-modeling-through-optical-character-recognition-agent-traces
OpticalDNA reproduction — Codex agent trace
This dataset contains the raw Codex JSONL session trace for the ICML 2026
reproduction of Rethinking Genomic Modeling Through Optical Character
Recognition.
Published Trackio logbook
Paper page
Challenge instructions
Agent Trace Viewer announcement
The JSONL is uploaded directly from the matching ~/.codex/sessions entry, as
recommended by the Agent Trace Viewer. It captures the reproduction work,
Hugging Face Jobs audit, poster… See the full description on the dataset page: https://huggingface.co/datasets/nielsr/repro-rethinking-genomic-modeling-through-optical-character-recognition-agent-traces.state-universal-license-recognition-laws
US state universal occupational license recognition laws — conditions and scope
Canonical, always-current version: https://referencesource.org/state-universal-license-recognition-laws/
Machine-readable: https://referencesource.org/state-universal-license-recognition-laws/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-15
Stale after: 2026-11-13 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 10… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/state-universal-license-recognition-laws.nrtl-recognition-scopes
Which OSHA NRTL is recognized for which test standard: all 21 labs' scopes of recognition, cross-referenced
Canonical, always-current version: https://referencesource.org/nrtl-recognition-scopes/
Machine-readable: https://referencesource.org/nrtl-recognition-scopes/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-10
Stale after: 2026-12-08 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 3321
For… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/nrtl-recognition-scopes.datatager_symptom_recognition_and_advice
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[GitHub | DataTager Home]
Extract Medical Information Dataset
Prompt for Training
When training your model with this dataset, prepend the following prompt to each input instance:
你需要去做的是理解患者的咨询文本，并基于这些症状提供一个可能的医学解释以及相应的建议措施。请始终确保你的输出中包括以下元素：1. 对输入中提到的症状的识别和确认。2. 基于症状的可能医学解释。3. 针对进一步诊断或治疗的建议措施。
Description
AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large… See the full description on the dataset page: https://huggingface.co/datasets/pandalla/datatager_symptom_recognition_and_advice.eventx-recognition-perturbed-gptabstract-move-recognitionFence-Climbing-Action-Recognition-Dataset
Fence Climbing Action Recognition Dataset
The current security industry faces challenges from people climbing over walls, fences, and other security hazards. Traditional surveillance methods often cannot timely and effectively recognize these abnormal behaviors. Existing solutions are insufficient in the accuracy and real-time detection of actions, resulting in the inability to quickly respond to potential dangers. This dataset aims to support the training of action recognition… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Fence-Climbing-Action-Recognition-Dataset.English_name_entity_recognitiontimex-recognition-sentence-perturbed-gpteventx-recognition-sentence-vocab-substituted-updatedSlovenian_name_entity_recognitionGreen-Chili-Damage-Recognition-Dataset
Green Chili Damage Recognition Dataset
The current agricultural industry faces challenges such as untimely crop pest and disease recognition and low accuracy, leading to serious crop losses. Existing recognition solutions often rely on manual experience, which is inefficient and prone to errors. This dataset aims to provide high-quality images of green chili damage to train deep learning models and improve the accuracy and efficiency of damage recognition. Data collection uses… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Green-Chili-Damage-Recognition-Dataset.timex-recognition-sentenceAnomalous-Running-Motion-Recognition-Dataset
Anomalous Running Motion Recognition Dataset
In the current security industry, sudden fast running and fleeing behaviors are often related to theft and other emergencies. However, the existing video surveillance systems generally lack the ability to detect such behaviors, making it difficult to respond and handle them effectively. This dataset aims to improve the accuracy and response speed of detection algorithms by providing a large number of anomalous running motion video… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Anomalous-Running-Motion-Recognition-Dataset.Greek_name_entity_recognitionReligious-Ceremony-Type-Recognition-Dataset
Religious Ceremony Type Recognition Dataset
Currently, as globalization accelerates, the religious ceremonies of various countries and ethnic groups are increasingly attracting the attention of scholars. However, accurately identifying and analyzing these ceremonies in the context of cultural exchange and understanding remains a pressing issue. Existing solutions rely on manual observation and record-keeping, which are inefficient and prone to error. This dataset focuses on the… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Religious-Ceremony-Type-Recognition-Dataset.timex-recognition-sentence-originalhan-humanoid-gesture-recognition-v1
Humanoid Gesture Recognition Dataset
Description
Dataset berisi parameter gerakan tangan dan lengan humanoid
untuk klasifikasi jenis gesture.
Features
sample_id (string)
shoulder_angle_deg (float)
elbow_angle_deg (float)
wrist_rotation_deg (float)
hand_velocity (float)
gesture_duration_sec (float)
Label
gesture_label (wave / point / grab / idle)
Task
Multiclass Classification
Metrics
Accuracy, F1 Score
Religious-Ceremony-Type-Recognition-Dataset
Religious Ceremony Type Recognition Dataset
Currently, as globalization accelerates, the religious ceremonies of various countries and ethnic groups are increasingly attracting the attention of scholars. However, accurately identifying and analyzing these ceremonies in the context of cultural exchange and understanding remains a pressing issue. Existing solutions rely on manual observation and record-keeping, which are inefficient and prone to error. This dataset focuses on the… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Religious-Ceremony-Type-Recognition-Dataset.timex-recognition-sentence-vocab-substituted-updatedintent_recognition
Dataset Description
The Conference Navigation and Information Dataset is designed to fine-tune Natural Language Understanding (NLU) models to comprehend user intents within a conference context. This dataset contains various user queries related to navigation, program information, and trade show details, along with their corresponding annotated dialogue act sequences.
Dataset Structure
The dataset consists of two primary fields:
context: The user's input query, asking… See the full description on the dataset page: https://huggingface.co/datasets/voxreality/intent_recognition.Anomalous-Running-Motion-Recognition-Dataset
Anomalous Running Motion Recognition Dataset
In the current security industry, sudden fast running and fleeing behaviors are often related to theft and other emergencies. However, the existing video surveillance systems generally lack the ability to detect such behaviors, making it difficult to respond and handle them effectively. This dataset aims to improve the accuracy and response speed of detection algorithms by providing a large number of anomalous running motion video… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Anomalous-Running-Motion-Recognition-Dataset.Polish_name_entity_recognitionGreen-Chili-Damage-Recognition-Dataset
Green Chili Damage Recognition Dataset
The current agricultural industry faces challenges such as untimely crop pest and disease recognition and low accuracy, leading to serious crop losses. Existing recognition solutions often rely on manual experience, which is inefficient and prone to errors. This dataset aims to provide high-quality images of green chili damage to train deep learning models and improve the accuracy and efficiency of damage recognition. Data collection uses… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Green-Chili-Damage-Recognition-Dataset.Corn-Seedling-Recognition-Dataset
Corn Seedling Recognition Dataset
The current challenge in the agriculture industry is the precision and inefficiency of crop growth monitoring. Traditional methods often rely on manual observation, which is inefficient and prone to errors. Existing solutions mostly involve manual annotation, lacking standardization and consistency. This dataset aims to promote automated monitoring technology in the agricultural field by building a high-quality corn seedling recognition dataset. The… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Corn-Seedling-Recognition-Dataset.Papaya-Tree-Recognition-Dataset
Papaya Tree Recognition Dataset
The current agricultural sector faces issues of low efficiency in crop recognition and management, especially against the backdrop of the growing development of smart agriculture. Traditional manual recognition methods are unable to meet the rapidly changing needs. Existing solutions often rely on image data from a single environment, lacking diversity and universality, which leads to poor model generalization. The Papaya Tree Recognition Dataset aims… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Papaya-Tree-Recognition-Dataset.Asparagus-Packaging-Recognition-Dataset
Asparagus Packaging Recognition Dataset
With the advancement of agricultural modernization, the need for packaging detection of agricultural products such as asparagus is increasing. However, existing automatic recognition systems face challenges such as brand diversity and packaging complexity, leading to low recognition accuracy. This dataset aims to address the accuracy issues in target detection by collecting images of asparagus under different brands and packaging methods. The… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Asparagus-Packaging-Recognition-Dataset.