MAP-CC

🌐 Homepage | 🤗 MAP-CC | 🤗 CHC-Bench | 🤗 CT-LLM | 📖 arXiv | GitHub An open-source Chinese pretraining dataset with a scale of 800 billion tokens, offering the NLP community high-quality Chinese pretraining data.

  Disclaimer

This model, developed for academic purposes, employs rigorously compliance-checked training data to uphold the highest standards of integrity and compliance. Despite our efforts, the inherent complexities of data and the broad spectrum of… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/MAP-CC.

This COVADIS data standard concerns communal map documents (CCs). This data standard provides a technical framework describing in detail how to dematerialise these town planning documents in a spatial database that can be used by a GIS tool and interoperable. This standard of data covers both the graphical plans of the sectors and the information overlaying them.This standard of COVADIS data has been developed on the basis of the specifications for the dematerialisation of planning documents created in 2012 by the CNIG, itself based on the consolidated version of the urban planning code dated 16 March 2012. The recommendations of these two documents are consistent even if their purpose is not the same. The COVADIS data standard provides definitions and a structure for organising and storing spatial data from communal maps in an infrastructure, while the CNIG specification serves to frame the digitisation of these data.Part C ‘Data Structure’ presented in this COVADIS standard provides additional recommendations for the storage of data files. These are specific choices for the common data infrastructure of the ministries responsible for agriculture and sustainable development, which do not apply outside their context.

This COVADIS data standard concerns communal map documents (CCs). This data standard provides a technical framework describing in detail how to dematerialise these town planning documents in a spatial database that can be used by a GIS tool and interoperable. This standard of data covers both the graphical plans of the sectors and the information overlaying them.This standard of COVADIS data has been developed on the basis of the specifications for the dematerialisation of planning documents created in 2012 by the CNIG, itself based on the consolidated version of the urban planning code dated 16 March 2012. The recommendations of these two documents are consistent even if their purpose is not the same. The COVADIS data standard provides definitions and a structure for organising and storing spatial data from communal maps in an infrastructure, while the CNIG specification serves to frame the digitisation of these data.Part C ‘Data Structure’ presented in this COVADIS standard provides additional recommendations for the storage of data files. These are specific choices for the common data infrastructure of the ministries responsible for agriculture and sustainable development, which do not apply outside their context.

Maps

## Overview

Maps is a dataset for object detection tasks - it contains Pools annotations for 4,613 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Communal map (CC) of blackPlace. This lot informs the right to build. It is digitised in accordance with the national requirements of the CNIG

The cladding elements are entries in relation to a regulatory provision (way width, odds, names of neighbouring municipalities.) or geometrical surface, linear or point indicative elements, dressing the graphic documents of the PLU or the POS. They are necessary for the paper edition of the applicable graphic documents. This may be, for example, a hold of a detail plan, a frame, a cartridge, a reminder for a writing, a draw to draw a rating, an equipment identification label

https://upload.wikimedia.org/wikipedia/commons/7/79/VEGFR2_bound_to_axitinib.gif" alt="image">

Introduction

This dataset is a replication of the dataset described in the paper Generative Modeling for Protein Structures by Namrata Anand and Po-Ssu Huang. The data is used to train a Generative Adversarial Network with the capability of creating protein structures.

Content

The data is stored in a hdf5 file and is structured in the following manner:

{
 "test_16": "16x16 numpy arrays",
 "train_16": "16x16 numpy arrays",
 "test_64": "64x64 numpy arrays",
 "train_64": "64x64 numpy arrays",
 "test_128": "128x128 numpy arrays"
 "train_128": "128x128 numpy arrays"
}

and contains the following number of numpy arrays:

test_16: 69,713

train_16: 1,820,586

test_64: 11,835

train_64: 331,006

test_128: 3,276

train_128: 98,748

Quickstart

Running the following will yeild ```python3 import h5py import matplotlib.pyplot as plt

dataset = h5py.File('dataset.hdf5', 'r') test_64 = dataset['test_64']

plt.imshow(test_64[1], cmap='viridis') plt.colorbar() plt.show() ``` https://i.imgur.com/lb2bOzo.png" alt="image">

Acknowledgements

@incollection{NIPS2018_7978,
title = {Generative modeling for protein structures},
author = {Anand, Namrata and Huang, Possu},
booktitle = {Advances in Neural Information Processing Systems 31},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {7494--7505},
year = {2018},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/7978-generative-modeling-for-protein-structures.pdf}

https://cdn.rcsb.org/rcsb-pdb/v2/common/images/rcsb_logo.png" alt="image"> H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne. (2000) The Protein Data Bank Nucleic Acids Research, 28: 235-242.

In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code.

This specific data set refers to the 1398 cc 64 kW Euro 6 petrol engine that has been applied in the

The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about:

the engine taxonomy code,

total driven kilometers over which the data was gathered,

total time in hours over which the data was gathered,

the number of vehicles which were tested to create the emission map,

the DOI (Digital Object Identifier) reference,

Which emission maps are available in the file.

The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.

Communal map (CC) — Lanarvily. This lot informs the right to build. It is digitised in accordance with the national requirements of the CNIG.

Approved on: 28 August 2007 Updated by deliberation on: 11 January 2017

The geological overview map of Rhineland-Palatinate at a scale of 1:300,000 (GUEK300) has been newly compiled on the basis of published geological maps of different scales. It replaces the previous official geological overview map of Rhineland-Palatinate on a scale of 1:500,000. The basis of the new map are the geological overview maps in the scale 1:200,000 (cc5502 Cologne, cc5510 Siegen, cc6302 Trier, cc6310 Frankfurt a.M. West, cc7102 Saarbrücken and cc7110 Mannheim), the geological maps published by the State Office for Geology and Mining Rhineland-Palatinate in the scales 1:100,000, 1:50,000 and 1:25,000 as well as the geological (and volcanic) maps of external processors. Due to scale, stratigraphic formations were combined into larger units and boundary lines were generalized. The spatially very complex disturbance pattern was (strongly generalized and) reduced to the representation of significant disturbances.:Geological survey map of Rhineland-Palatinate 1:300,000 (GUEK 300) The GUEK 300 was recompiled on the basis of published geological maps of different scales. It replaces the previous official geological overview map of Rhineland-Palatinate on a scale of 1: 500 000. The new map is based on the 1st scale geological survey maps issued by the Federal Institute for Geosciences and Natural Resources in Hanover in cooperation with the State Geological Services of the Laender : 200 000 (CC 5502 Koeln, CC 5510 Siegen, CC 6302 Trier, CC 6310 Frankfurt a.M. West, CC 7102 Saarbruecken and CC 7110 Mannheim), the geological maps published by the Rhineland-Palatinate State Office for Geology and Mining in the scales 1 : 100 000, 1 : 50 000 and 1 : 25 000 as well as the geological (and volcanic) maps of external processors. Due to scale, stratigraphic formations were combined into larger units and boundary lines were generalized. The area-by-area very complex shock pattern was (strongly generalized and) reduced to the representation of significant shocks.

ADMMR map collection: Christmas Copper Mine Section C-C'; 1 in. to 200 feet; 24 x 18 in.

The Urban Planning Code defines two types of areas for municipal maps: construction sectors and inconstructible sectors. There are, however, special cases: — Graphic documents may define areas reserved for industrial or craft activities, in particular those incompatible with the neighbourhood of inhabited areas. — They define, where appropriate, the areas in which the reconstruction of a building destroyed by a disaster is not permitted. — Installations necessary for public facilities, agricultural or forestry operations and the development of natural resources are not covered by the principle of inconstructibility resulting from classification. The areas of the communal map do not always cover the entire communal territory. The areas of the municipality not covered by a sector are represented by an object in order to cover the whole municipality.

ADMMR map collection: Mystic Gold, Cross Section CC; 1 in. to 20 feet; 24 x 18 in.

In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 998 cc 50 kW Euro 5b petrol engine that has been applied in the The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.

ADMMR map collection: Kay Copper Corporation Kay Mine Section on C-C; 1 in. to 80 feet; 42 x 25 in.

Web map with schools layer for viewing and locating schools within Cumberland County, NC.

ADMMR map collection: State of Texas Mine Ideal Section Along C-C with Geology; 1 in. to 40 feet; 4 x 4 in.

The information contained in graphic documents of a PLU or POS urban planning document shall be added either for regulatory reasons or for information purposes: — the information which is to be annexed to the planning documents in accordance with Articles R123-13 and R123-14 of the Planning Code, — the information reported on the graphic documents for information purposes.

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