Positioning
uwb-positioning-datasets
UWB Positioning Datasets
This repository offers multiple open source UWB Positioning Datasets, collected in two imec-IDLab, Ghent University testbeds: the Office Lab and the Industrial IoT Lab
The following datasets are available:
UWB PHY Settings Dataset: A full anchor space exploration using ADS-TWR between 15 anchors over 72 different PHY configurations.
Two-way Ranging Correction Dataset: ADS-TWR using a mobile robot in a challenging industrial environment.
UWB CIR Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/iwine-ugent/uwb-positioning-datasets.WIFI_RSSI_Indoor_Positioning_Dataset
WIFI RSSI Indoor Positioning Dataset
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a… See the full description on the dataset page: https://huggingface.co/datasets/Brosnan/WIFI_RSSI_Indoor_Positioning_Dataset.task_table30v2_stamp_positioningcftc_commitments_of_traders_positioning
موقعیت سفتهبازان در بازار آتی کالا (گزارش COT) — هفتگی
موقعیت خرید و فروش صندوقهای سفتهباز در بازار آتی نفت، طلا، نقره، مس، گاز، گندم و ذرت — هفتگی از ۲۰۱۵. در کنار سری قیمت همان کالاها، نشان میدهد حرکت قیمت را انتظارات میسازد یا واقعیت بازار.
پوشش: 1393-10-16 → 1405-06-24 · تناوب: هفتگی · سطح: بازارهای آتی آمریکا
تعداد مشاهده: 5,499 · تعداد مکان: 1
منبع: کمیسیون معاملات آتی کالای آمریکا (CFTC) — https://www.cftc.gov/MarketReports/CommitmentsofTraders… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/cftc_commitments_of_traders_positioning.so100-block-positioning-cubicle-60epThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so100_follower",
"total_episodes": 60,
"total_frames": 17947,
"total_tasks": 6,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:60"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Sixym3/so100-block-positioning-cubicle-60ep.relative-positioning
Dataset Card for Dataset Name
This dataset aims to teach LLMs relative positioning (e.g. above, left from, below, etc.),
which in my findings most LLMs, even SOTA where not able to produce under all circumstances.
Will be pushing a fine-tuned mixtral-7x8B with this dataset.
Dataset Details
Dataset Description
Contains Data for relative positioning on a grid(256, 256).
Assumes Origin [0, 0] is in the bottom left.
Two Objects (Object 1, Object 2) are randomly… See the full description on the dataset page: https://huggingface.co/datasets/LlameUser/relative-positioning.