Datasets:

bsnikhila
/

intent-detection-benchmark-test

pretty_name: Intent Detection Benchmark
task_categories:
  - text-classification
language:
  - en
tags:
  - benchmark
  - intent-detection
  - search
  - evaluation
size_categories:
  - n<1K
model-index:
  - name: GPT-4.1
    results:
      - task:
          type: text-classification
          name: Intent Detection
        dataset:
          name: Intent Detection Benchmark
          type: your-org/intent-detection-benchmark
        metrics:
          - type: accuracy
            value: 0.92
            name: Accuracy
          - type: f1
            value: 0.91
            name: F1
  - name: Llama-3-70B
    results:
      - task:
          type: text-classification
          name: Intent Detection
        dataset:
          name: Intent Detection Benchmark
          type: your-org/intent-detection-benchmark
        metrics:
          - type: accuracy
            value: 0.87
            name: Accuracy
          - type: f1
            value: 0.86
            name: F1

Intent Detection Benchmark

A benchmark dataset for e-commerce and search intent classification.

Task

Given a query, predict the user intent.

Example intents:

product_search
returns
order_tracking
subscription_cancel
purchase_accessories

Leaderboard

Model	Accuracy	F1	Latency
GPT-4.1	0.92	0.91	820ms
Llama-3-70B	0.87	0.86	410ms

Dataset Format

query	intent
buy iphone charger	purchase_accessories

Citation

@dataset{intent_detection_benchmark,
  title={Intent Detection Benchmark},
  year={2026}
}