This dataset provides a comprehensive overview of the natural gas price index system from 2004 to 2024. It includes monthly data on key factors influencing natural gas prices, such as coal prices, crude oil prices, heating oil prices, geopolitical factors, S&P500 index, natural gas supply, consumption, extraction volume, imports, storage levels, maximum and minimum temperatures, heating degree days (HDD), cooling degree days (CDD), and natural gas prices.
This dataset includes cyclist stress levels and a range of sensor readings capturing environmental conditions from both real-world traffic and a bike simulator environment. Data was collected using a smartphone-based sensor system, which recorded accelerometer, gyroscope, GPS, ambient light, and microphone data. Cyclists verbally reported their perceived stress levels at regular 5-second intervals, creating a labeled dataset for analyzing cyclist stress.
不同模型的效果
Social media has become a significant platform for information dissemination. This study uses X (formerly known as Twitter) to analyze the key characteristics of information that goes viral on social media. A viral tweet is defined as one that receives 1,000 or more retweets. Data were collected from three Malaysian news channels (501Awani, BernamaTV, and fmtoday) between January and October 2024.
This data set includes student responses and expert ratings from the test administrations for the Turkish History course. For each question, the correct answer is assigned a new label, while incorrect answers are labeled as “0”. For 15 questions, there are true-false scores and for 4 questions there are true-partially true-false scores.
The Cross-Domain Deception Dataset (CD3) contains frame-level features extracted from video data using OpenFace and OpenPose to support research in deception detection through facial expressions, facial action units, body and hand gestures, and gaze coordinates. Using a commercial off-the-shelf laptop and Microsoft Teams, we collected video data of 45 participants completing mock interviews where they answered questions related to biographical information, academic success, and well-being across two sessions.
6 typical suppression-type interference signals are generated by MATLAB 2021b: Sine amplitude modulation(SAM), Sine frequency modulation(SFM), Noise frequency modulation(NFM), Noise amplitude modulation(NAM), Linear frequency modulation sweep(LFM), Logarithmic frequency modulation sweep (LogFM).
This dataset contains IoT-based soil data collected from various districts of Bangladesh, aimed at assessing soil quality for crop recommendation purposes. The data includes key soil parameters, such as nitrogen, phosphorus, potassium levels, soil conductivity, pH, humidity, and temperature, measured over multiple time intervals. The dataset includes a Soil Quality Index (SQI) and fuzzy classification categories, allowing for an in-depth soil fertility analysis.
Data Format: The format of the dataset is CSV format.
- Size of Dataset: The size of the dataset is 3.84 Go with 7,068,103 rows and 18 columns.
- The summary of the attributes:
1) Date: Date of the event, in the format MM/DD/YYYY.
2) Time: Time of day, expressed in 24-hour format HH:MM.
3) Timezone: Time zone specified during processing.
4) MACB: Associated with actions performed on a file in a file system: M for modification, A for access, C for change, B for creation.
5) Source: Short name of the source.
6) Sourcetype: More detailed description of the source.
The CodyDroid Evaluation Dataset is curated to benchmark the Android SDK code generation capabilities of two lightweight language models: CodyDroid Model-1 (deepseek-coder-5.9M-kexer) and CodyDroid Model-2 (codegen-175K-mono-java). Each entry in the dataset consists of a natural language description of an Android development task, paired with code outputs from both models, a reference solution crafted by a developer, and a detailed qualitative analysis.
