metadata

annotations_creators:
  - expert-generated
language:
  - en
language_creators:
  - found
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: Quora Duplicate Questions
tags:
  - sentence-transformers
  - evaluation
dataset_info:
  - config_name: duplicates
    features:
      - name: qid1
        dtype: string
      - name: qid2
        dtype: string
    splits:
      - name: train
        num_bytes: 4091278
        num_examples: 217838
      - name: dev
        num_bytes: 382130
        num_examples: 20017
      - name: test
        num_bytes: 1222432
        num_examples: 65350
    download_size: 4513329
    dataset_size: 5695840
  - config_name: questions
    features:
      - name: question
        dtype: string
      - name: qid
        dtype: string
    splits:
      - name: train
        num_bytes: 28494589
        num_examples: 376493
      - name: dev
        num_bytes: 4060422
        num_examples: 53485
      - name: test
        num_bytes: 8163310
        num_examples: 107953
    download_size: 28791952
    dataset_size: 40718321
configs:
  - config_name: duplicates
    data_files:
      - split: train
        path: duplicates/train-*
      - split: dev
        path: duplicates/dev-*
      - split: test
        path: duplicates/test-*
  - config_name: questions
    data_files:
      - split: train
        path: questions/train-*
      - split: dev
        path: questions/dev-*
      - split: test
        path: questions/test-*

Dataset Card for Quora Duplicate Questions

This dataset contains the Quora Question Pairs dataset in a format that is easily used with the ParaphraseMiningEvaluator evaluator in Sentence Transformers. The data was originally created by Quora for this Kaggle Competition.

Usage

from datasets import load_dataset
from sentence_transformers.SentenceTransformer import SentenceTransformer
from sentence_transformers.evaluation import ParaphraseMiningEvaluator

# Load the Quora Duplicates Mining dataset
questions_dataset = load_dataset("sentence-transformers/quora-duplicates-mining", "questions", split="dev")
duplicates_dataset = load_dataset("sentence-transformers/quora-duplicates-mining", "duplicates", split="dev")

# Create a mapping from qid to question & a list of duplicates (qid1, qid2)
qid_to_questions = dict(zip(questions_dataset["qid"], questions_dataset["question"]))
duplicates = list(zip(duplicates_dataset["qid1"], duplicates_dataset["qid2"]))

# Initialize the paraphrase mining evaluator
paraphrase_mining_evaluator = ParaphraseMiningEvaluator(qid_to_questions, duplicates, name="quora-duplicates-dev")

# Load a model to evaluate
model = SentenceTransformer("all-MiniLM-L6-v2")
results = paraphrase_mining_evaluator(model)
print(results)

{
  'quora-duplicates-dev_average_precision': 0.5537837023752262,
  'quora-duplicates-dev_f1': 0.542585123346778,
  'quora-duplicates-dev_precision': 0.5112918195076678,
  'quora-duplicates-dev_recall': 0.5779587350751861,
  'quora-duplicates-dev_threshold': 0.8290803134441376,
}

Dataset Subsets

`questions` subset

Columns: "question", "qid"
Column types: str, str

Examples:

{
  'question': 'How do I prepare for TCS IT Wiz?',
  'qid': '107646',
}

Collection strategy: A direct copy of the quora-IR-dataset/duplicate-mining as generated from create_splits.py.
Deduplified: No

`duplicates` subset

Columns: "qid1", "qid2"
Column types: str, str