Back to datasets
Dataset assetOpen Source CommunityCustomer ServiceConsumer Complaints

aciborowska/customers-complaints-train-eval

This dataset contains detailed consumer complaint records, including receipt date, product type, specific issue, consumer complaint narrative, company response, and other fields. It is mainly used for training models to process and analyze consumer complaints, with a training set of 27,000 samples.

Source
hugging_face
Created
Nov 28, 2025
Updated
Nov 27, 2023
Signals
122 views
Availability
Linked source ready
Overview

Dataset description and usage context

Dataset Overview

Feature Information

The dataset includes the following features:

  • Date_received: string type
  • Product: string type
  • Sub_product: string type
  • Issue: string type
  • Sub_issue: string type
  • Consumer_complaint_narrative: string type
  • Company_public_response: string type
  • Company: string type
  • State: string type
  • ZIP_code: string type
  • Tags: string type
  • Consumer_consent_provided?: string type
  • Submitted_via: string type
  • Date_sent_to_company: string type
  • Company response to consumer: string type
  • Timely_response?: string type
  • Consumer_disputed?: string type
  • Complaint_ID: 64‑bit integer

Data Splits

  • train: contains 27,000 samples, occupying 36,271,224 bytes

Dataset Size

  • Download size: 14,216,092 bytes
  • Dataset size: 36,271,224 bytes

Configuration Information

  • config_name: default
  • data_files:
    • split: train
    • path: data/train-*
Need downstream help?

Pair the dataset with AI analysis and content workflows.

Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.

Explore AI studio