datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
customer-complaints
License
apache-2.0
About
Source
https://catalog.data.gov/dataset/consumer-complaint-database
Data Prep
removed rows with empty values
filtered out complaints with over 100 words
filtered out products, sub-products, issues and sub-issues with less than 30 occurrences
Purpose
Intended for use in the HPE Generative AI "Financial Customer Classification" tutorial.
No-Code Version (UI Only)
Notebooks Version
customer-complaintsThis is a data set of customer complaints in three different categories (billing, product, delivery) generated with ChatGPT 4o.
The data set is meant to train smaller LMs for text classification for instructive purposes.
The prompt used to generate the data was
Produce a list of 500 unique examples of angry customers with an issue related to delivery (< 20 words each) without using code.
Show each example without quotes on a new line
for example:
the driver never came
I've been waiting for… See the full description on the dataset page: https://huggingface.co/datasets/hblim/customer-complaints.customer-complaints
License
apache-2.0
About
Source
https://catalog.data.gov/dataset/consumer-complaint-database
Data Prep
removed rows with empty values
filtered out complaints with over 100 words
filtered out products, sub-products, issues and sub-issues with less than 30 occurrences
Purpose
Intended for use in the HPE Generative AI "Financial Customer Classification" tutorial.
No-Code Version (UI Only)
Notebooks Version
nigerian_energy_and_utilities_customer_complaints
Nigerian Energy & Utilities – Customer Complaints | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: energy - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_energy_and_utilities_customer_complaints.customer-complaints-eval.csvcustomer-complaints-test.csvadaption-customer-complaints-vn
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-customer_complaints_vn
This dataset contains customer service prompts in Vietnamese, ranging from standard return requests to aggressive demands for high-value compensation. The samples illustrate various tones, including polite inquiries about sizing errors and threatening messages from self-proclaimed influencers regarding late deliveries or app glitches. It serves as a resource… See the full description on the dataset page: https://huggingface.co/datasets/melanieyes/adaption-customer-complaints-vn.customer-complaints-train.csv