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
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.csvgithub_fetch_huggingface_terminal_excel_memory_2899_pub_customer_complaints
Customer Complaints Intelligence
Aggregated consumer complaint narratives used for customer experience analytics and topic modeling.
Registry ID: REG-001
Owner Team: Data Science
Derived from: Roy229/github_fetch_huggingface_terminal_excel_memory_2899_src_raw_cfpb_complaints