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- ---
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- license: mit
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: mask
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- dtype: image
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- splits:
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- - name: train
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- num_bytes: 13070075868
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- num_examples: 168510
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- - name: validation
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- num_bytes: 3109460987
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- num_examples: 41591
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- - name: test
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- num_bytes: 3578191881
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- num_examples: 43630
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- download_size: 20864559061
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- dataset_size: 19757728736
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: mask
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+ dtype: image
9
+ splits:
10
+ - name: train
11
+ num_bytes: 13070075868
12
+ num_examples: 168510
13
+ - name: validation
14
+ num_bytes: 3109460987
15
+ num_examples: 41591
16
+ - name: test
17
+ num_bytes: 3578191881
18
+ num_examples: 43630
19
+ download_size: 20864559061
20
+ dataset_size: 19757728736
21
+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ ---
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+
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+ # Dataset Card for Dataset Name
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ A mining site dataset to identify mining sites on rocky / deserty / non-vegetated land surfaces. The dataset depicts large scale mining sites of the country of chile.
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+ <!-- Provide a longer summary of what this dataset is. -->
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+ A mining site dataset to identify mining sites on rocky / deserty / non-vegetated land surfaces. The dataset depicts large scale mining sites of the country of chile.
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+
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+
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+
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+ - **Curated by:** Matthias Kahl (https://github.com/maduschek)
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+ - **Funded by [optional]:** DynamicEarthNet and the Future Lab AI4EO
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Attribution:** Mineral Resources Engineering (MRE) of RWTH Aachen
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+
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+ ### Dataset Sources [optional]
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+
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+ <!-- Provide the basic links for the dataset. -->
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+
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+ - **Repository:** https://github.com/maduschek/mine-sector-detection
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+ <!-- Address questions around how the dataset is intended to be used. -->
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+ Organized as binary semantic segmentation dataset.
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+
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+ ### Direct Use
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+ <!-- This section describes suitable use cases for the dataset. -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Dataset Structure
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+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+
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+ **Dataset Fields**
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+
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+ | **Class** | **segments** | **Key** | **px mask** |
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+ |----------------------------|--------------|----------|--------------|
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+ | other | - | - | `0` |
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+ | ASM site | - | `asm` | `1` |
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+ | LSM site | `150` | `lsm` | `2` |
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+ | open pit | `143` | `op` | `5` |
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+ | mine facility | `416` | `mf` | `4` |
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+ | waste rock dump | `320` | `wr` | `9` |
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+ | stockyard | `158` | `sy` | `7` |
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+ | processing plant | `80` | `pp` | `6` |
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+ | tailings storage facility | `59` | `tsf` | `8` |
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+ | heap leaching | `31` | `lh` | `3` |
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+
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+
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+ project/
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+ annotations/
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+ annotation_doc.pdf
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+ Chile_LSM_sectors.geojson
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+ Chile_LSM_sites_Maus_et_al_subset.geojson
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+ Ghana_ASM.geojson
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+ overview.qgs
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+ overview.qgz
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+ test_sites.geojson
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+ train_sites.geojson
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+ example Images/
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+ hires_msk_patch.png
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+ hires_tci_patch.png
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+ lh/
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+ s2_msk_patch.png
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+ s2_msk_patch.tif
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+ s2_tci_patch.png
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+ s2_tci_patch.tif
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+ train_test_sites_map_lowres.pdf
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+ train_test_sites_map.pdf
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+ img_sector/
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+ multiclass_image_data/
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+ multiclass_image_data.zip
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+ img_site/
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+ image-data.tar.gz
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+ metadata/
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+ metadata.csv
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+ metadata_sources.txt
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+ metadata.xlsx
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+ results/
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+ sector_classification.txt
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+ site_detection_10k_rand.txt
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+ site_detection.txt
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ <!-- Motivation for the creation of this dataset. -->
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+
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+ #### Data Collection and Processing
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+
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+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+
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+ [More Information Needed]
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+
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+ #### Who are the source data producers?
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+
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+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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+
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+ [More Information Needed]
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+
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+ ### Annotations [optional]
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+
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+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+
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+ #### Annotation process
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+
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+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ <!-- This section describes the people or systems who created the annotations. -->
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+
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+ [More Information Needed]
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+
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+ #### Personal and Sensitive Information
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+
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+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Dataset Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Dataset Card Contact
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+
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+ [More Information Needed]