Datasets:
language:
- en
- fr
- es
- de
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- text-classification
pretty_name: International Aid Transparency Initiative (IATI) Policy Marker Dataset
dataset_info:
features:
- name: iati_identifier
dtype: string
- name: reporting_org_ref
dtype: string
- name: text
dtype: string
- name: languages
dtype: string
- name: activity_dates
dtype: string
- name: gender_equality_sig
dtype: float64
- name: environment_sig
dtype: float64
- name: pdgg_sig
dtype: float64
- name: trade_sig
dtype: float64
- name: bio_diversity_sig
dtype: float64
- name: climate_mitigation_sig
dtype: float64
- name: climate_adaptation_sig
dtype: float64
- name: desertification_sig
dtype: float64
- name: rmnch_sig
dtype: float64
- name: drr_sig
dtype: int64
- name: disability_sig
dtype: int64
- name: nutrition_sig
dtype: int64
- name: gender_equality
dtype: bool
- name: environment
dtype: bool
- name: pdgg
dtype: bool
- name: trade
dtype: bool
- name: bio_diversity
dtype: bool
- name: climate_mitigation
dtype: bool
- name: climate_adaptation
dtype: bool
- name: desertification
dtype: bool
- name: rmnch
dtype: bool
- name: drr
dtype: bool
- name: disability
dtype: bool
- name: nutrition
dtype: bool
splits:
- name: train
num_bytes: 847221626
num_examples: 895519
download_size: 300347056
dataset_size: 847221626
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- finance
- climate
International Aid Transparency Initiative (IATI) Policy Marker Dataset
A multi-purpose dataset including all activity title and description text published to IATI with metadata for policy markers. For more information on IATI policy markers, see the element page on the IATI Standard Website. IATI is a living data source, and this dataset was last updated on 21 August, 2024. For the code to generate an updated version of this dataset, please see my Github repository here.
For any given policy marker in this dataset, there are two columns. One indicates whether the publisher utilizes the policy marker at all (e.g. gender_equality
), and the other represents the marker significance (e.g. gender_equality_sig
).
The language column is pipe separated. It should be mostly ISO 639, but it's a free-text field so there may be other values.
A suggested use would be:
from datasets import load_dataset
iati = load_dataset("devinitorg/iati-policy-markers", split="train")
gender_relevant_iati = iati.filter(lambda example: example["gender_equality"]).rename_column("gender_equality_sig", "label")
cols_to_remove = gender_relevant_iati.column_names
cols_to_remove.remove("text")
cols_to_remove.remove("label")
gender_relevant_iati = gender_relevant_iati.remove_columns(cols_to_remove)
dataset = gender_relevant_iati.class_encode_column("label").train_test_split(
test_size=0.2,
stratify_by_column="label",
shuffle=True,
)