datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Llama3-SSL4EO-S12-v1.1-captions
Llama3-SSL4EO-S12-Captions
The captions are aligned with the SSL4EO-S12 v1.1 dataset and were automatically generated using the Llama3-LLaVA-Next-8B model.
Please find more information regarding the generation and evaluation in the Llama3-MS-CLIP paper.
Code: https://github.com/IBM/MS-CLIP
Data Structure
We provide the captions in two versions: As a single compressed Parquet file per split and as CSV files with 256 captions each that match the Zarr Zip files of the… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions.abdullahkhan70_global-street-food-3-continent-geospatial-index
Global Street Food: 3 Continent Geospatial Index
3 Countries street food index: GPS, local prices, and hygiene ratings
Dataset Info
Source: Kaggle
Original Size: 0.11 MB
Kaggle Downloads: 26
Files: 3
Files
mexico_street_food_vendor.csv
pakistan_street_food_vendor.csv
thailand_street_food_vendor.csv
Mirrored from Kaggle
geospatial_data_v2US_GeoSpatial_Dataset_by_HNM
US_GeoSpatial_dataset_by_HNM
Dataset Description
This dataset contains 56 records with 16 features.
Dataset Summary
Metric
Value
Total Rows
56
Total Columns
16
Numeric Columns
10
Categorical Columns
6
Missing Values
0 (0.00%)
Duplicate Rows
0
Memory Usage
19.51 MB
Dataset Structure
Data Fields
Column
Type
Sample/Range
Unique Values
Missing %
geo_id
int64
Range: [1.00, 78.00]
56
0.0%… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/US_GeoSpatial_Dataset_by_HNM.geospatial_data_v1