Datasets:
Modalities:
Text
Formats:
parquet
Languages:
Dutch
Size:
10K - 100K
Tags:
document_classification
License:
File size: 1,464 Bytes
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---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
- name: num_pages
dtype: float64
- name: split
dtype: string
splits:
- name: train
num_bytes: 254697480
num_examples: 20818
download_size: 134126358
dataset_size: 254697480
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: eupl-1.1
language:
- nl
tags:
- document_classification
size_categories:
- 10K<n<100K
---
This dataset is a collection of Dutch Raadsinformatie documents from the Municipality of Amsterdam, which were published in compliance with the Open Government Act (Woo).
It is used for the Document Classification using Large Language Models project (todo: insert link).
The documents belong to 11 categories, such as Budgets (begrotingen), Research Reports (onderzoeksrapporten) and Motions (moties).
The project's objective was to classify these documents to make them easier to find and thus improve accessibility.
Modified Version(s) of the Dataset:
- Conversation Dataset to fine-tune LLMs - first 200 tokens per document: [AmsterdamBalancedFirst200Tokens](https://huggingface.co/datasets/FemkeBakker/AmsterdamBalancedFirst200Tokens)
Data sources:
- https://amsterdam.raadsinformatie.nl/
- https://openresearch.amsterdam/
- https://open.amsterdam/
This dataset is part of [inseart thesis info] in collaboration with Amsterdam Intelligence for the City of Amsterdam.
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