5714 Global import shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The subwatershed boundaries conform to the administrative outer boundaries of Credit Valley Conservation and may not be physiographically correct along the edge of the overall watershed. The internal boundaries have been delineated and modified over the years as better data were made available. LiDAR-based ground surface elevation contour lines, LiDAR-based DEM, LiDAR-refined and field-checked stream network, and municipal storm sewer networks were used to discretize the internal boundaries of subwatersheds.Click here for metadata

286 Global export shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The watershed/administrative boundary was updated by merging the subwatershed boundaries. Subwatershed boundaries have been delineated using LiDAR-based ground surface elevation contour lines, LiDAR-based DEM, LiDAR-refined and Field-checked stream network, and municipal storm sewer networks.Click here for Metadata

SEED-Bench-2-Plus Card

  Benchmark details

Benchmark type: SEED-Bench-2-Plus is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs). It consists of 2.3K multiple-choice questions with precise human annotations, spanning three broad categories: Charts, Maps, and Webs, each of which covers a wide spectrum of text-rich scenarios in the real world. Benchmark date: SEED-Bench-2-Plus was collected in April 2024. Paper or resources for more information:… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2-plus.

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

Linear water bodies: rivers, creeks, and any watercourses, including major engineered and enclosed watercourses of storm sewer systems in urban areas.The original file that existed before 2004 was generated mainly by student volunteers and CVC staff. Starting 2004, original file underwent major and substantial revisions using orthophotos and field observations. Starting from 2015, LiDAR-based DEM and contour lines were used to refine the line network.From 2020-2022, new features were added, and some were modified or removed. The content of the attribute table was not updated.Disclaimer: The Hydrologic Network has been refined using LiDAR-based DEM and contour lines, most segments have not been ground-truthed. CVC cannot guarantee the Information is complete and/or accurate.The “Regulation” field does not represent all areas regulated by Credit Valley Conservation and is meant for information purposes only. If you have any questions about your property, please contact us.Information made available is not intended to constitute advice nor is it to be used as a substitute for specific advice from a licensed professional. You should not act, or refrain from acting, based upon the Information without independently verifying the Information and, as necessary, obtaining professional advice regarding your particular facts and circumstances. The Information made available is not intended to be used and should not be used for navigational purposes. The Information provided is for information purposes only. The Credit Valley Conservation Authority (CVC) assumes no responsibility for the correctness of the Information, nor liability to any User of such Information, regardless of the purpose.Click here for Metadata

This dataset contains 82 annotated map samples from diverse historical city maps of Jerusalem and Paris, suitable for map text detection, recognition, and sequencing.

Organization of the data

The data in maptext_format.json is organized in the same way as in the General Data from the David Rumsey Collection from ICDAR 2024 Competition on Historical Map Text Detection, Recognition, and Linking [1].

The data is structured by image, and list of sequences (groups). The boolean attributes illegible and truncated are used to provide additional insight on the data quality.

Our interpretation of the truncated and illegible tags is the following:

• truncated refers to the case where part of a word is located outside the image crop, and is thus missing. In that case, the transcription stops at the image border, focusing only on the visible part of the word
• illegible is a subjective indication of (un)certainty in the transcription provided. Whenever possible, a best guess transcription is provided. Otherwise, the illegible letters are filled with blank spaces

The text corresponds to the diplomatic transcription, i.e. as it appears on the document. Text are transcribes with all latin characters, with cases, diacritics (e.g. ö, ḡ) and diagraphs (e.g. Œ).

Each word polygon consists of an even number of vertices arranged in clockwise order starting from the initial point to the top left. The first n/2 vertices represent the upper boundary line following the reading direction, while the second half represents the lower boundary line in the reverse direction. Here is an illustration:

Example structure

[
{
"image": "map_image_1.jpg",

# Here groups are what we call sequences.
"groups": [
{
"vertices": [[x1, y1], [x2, y2], ...],
"text": "Champs",
"illegible": "false",
"truncated": "false"
},
{
"vertices": [[x1, y1], [x2, y2], ...],
"text": "Elysées",
"illegible": "false",
"truncated": "false"
}
]
}
]


The file pandas_format.pkl contains the same data. It is only provided for convenience.

Image documents

The maps of Paris were taken from the Historical City Maps Semantic Segmentation Dataset [2]. The original documents were digitized by the Bibliothèque nationale de France (BnF), and the Bibliothèque Historique de la Ville de Paris (BHVP).

The maps of Jerusalem were curated from the collections of the National Library of Israel (NLI), and Wikimedia Commons.

Descriptive statistics

Number of words: 7528
Number of single-word sequences: 1757
Number of multi-word sequences: 1969
Statistics of multi-word sequences length:
mean: 2.93 words
std: 1.25 words
min: 2.00 words
med: 3.00 words
max: 15.00 words

Future updates

The transcribed text, corresponds to the diplomatic transcription, suitable for text recognition tasks. In future updates, we hope to complement it with an additional normalization attribute, which could extend abbreviations (e.g. "bvd." => "boulevard") and normalize transcriptions (e.g. "QVARTER" => "QUARTER").

Use and Citation

For any mention of this dataset, please cite :

@misc{paris_jerusalem_dataset_2025,
author = {Dai, Tianhao and Johnson, Kaede and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella},
title = {{Paris and Jerusalem City Maps Text Dataset}},
year = {2025},
publisher = {Zenodo},
url = {https://doi.org/10.5281/zenodo.14982662}}

@article{recognizing_sequencing_2025,
author = {Zou, Mengjie and Dai, Tianhao and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella},
title = {{Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer}},
year = {2025}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

Work ethics

The data were annotated by two master's students from EPFL, Switzerland. The students were paid for their work using public funding, and were offered the possibility to be associated with the publication of the data.

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

1. Li Z., Lin Y., Chiang Y.-Y., Weinman J., Tual S., Chazalon J., Perret J., Duménieu B., Abadie N. (2024). ICDAR 2024 competition on historical map text detection, recognition, and linking. In Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI. Springer-Verlag, Berlin, Heidelberg, 363–380. https://doi.org/10.1007/978-3-031-70552-6_22
2. Petitpierre, R. (2021). Historical City Maps Semantic Segmentation Dataset. V1.0. https://doi.org/10.5281/zenodo.5513639

310027 Global import shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

Where roads cross watercourses, bridges and culverts can create barriers to fish and wildlife movement. This impacts natural heritage system connectivity and can also cause road mortality. CVC’s Road and Valley Crossings project evaluated existing bridge and culvert infrastructure. We identified priority structures for mitigation or replacement to improve fish and wildlife habitat connectivity in the Credit River Watershed. Improving connections in these areas can also reduce wildlife-vehicle collisions. This in turn improves health and safety for both people and wildlife.This shapefile was created to characterize existing conditions for fish and wildlife passage at bridges and culverts. Data for this file was collected through field inventories at bridges and culverts, primarily between 2014-2017, focusing on municipal roads. Additional sites have been added periodically, as additional data becomes available. This file also identifies priority bridges and culverts for upgrade to improve fish and wildlife passage based on an analysis completed in 2021.For more details on the project and the analysis, please see the CVC Road and Valley Crossings Data User Guide (2021) and the CVC Road and Valley Crossings Project final report (in prep).Click here for Metadata

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

1-WID512_ROTATE.tar.gzThis package is the training and inference data of CVC-FP for Mask RCNN. Please visit https://github.com/facebookresearch/Detectron to check the training and inference guidance.5_folds_result.tar.gzThis package is results of 5-fold cross validation datasets. The results are stored as shapefiles and named after the name of floor plan images.submitted_code.7z & test_data.tar.gzThese two packages are the codes and the corresponding test data. Please unpack them and check the guidance of readme.md.

Point features summarizing project type and locations where aquatic and wetland restoration projects have occurred from 2008-2019 implemented by CVC Aquatic and Wetland Restoration.Locations identified are approximated from airphoto analysis. The location, size and scope of project may not be accurately represented.Click here for Metadata

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

This map series includes the Reconnaissance Vegetation Inventory maps as well as Current Vegetation Cover (CVC) for Wildlife Resource Inventory and the Assessment and Current Cover Types (CCT) for Wildlife Habitat Inventory. This series of reports and hardcopy maps provides a broad vegetation inventory for the Green Area and White Area. The maps depict both forestry and agricultural based vegetation cover types including those native and introduced to the province, as well as height, and density. In some cases non-vegetated areas are included in the inventory. The Reconnaissance Vegetation Inventory and Current Cover Types for Wildlife Habitat Inventory maps were created at a scale of 1:100 000. The Current Vegetation Cover for Wildlife Resource Inventory and Assessment maps were created at a scale of 1:250 000. The legend for the Reconnaissance Vegetation Inventory maps is slightly more detailed than the legend for the Current Cover Types for Wildlife Habitat Inventory maps. This product can be viewed on a computer, printed or be plotted in part or in whole. All available maps are provided in Adobe PDF and Tif format within downloadable WinZip files. This series is not updated and contains a range of publication dates. These maps are not available as geo-referenced rectified images or GIS-ready data.

310027 Global export shipment records of Cvc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.