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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.

Updated 11/27/2023
hugging_face

Description

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-*

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Topics

Consumer Complaints
Customer Service

Source

Organization: hugging_face

Created: Unknown

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