---
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](https://huggingface.co/datasets/quora) Question Pairs dataset in a format that is easily used with the [`ParaphraseMiningEvaluator`](https://sbert.net/docs/package_reference/evaluation.html#sentence_transformers.evaluation.ParaphraseMiningEvaluator) evaluator in Sentence Transformers. The data was originally created by Quora for [this Kaggle Competition](https://www.kaggle.com/c/quora-question-pairs).

## Usage

```python
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:
    ```python
    {
      '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`](https://github.com/UKPLab/sentence-transformers/tree/master/examples/training/quora_duplicate_questions/create_splits.py).
* Deduplified: No

### `duplicates` subset

* Columns: "qid1", "qid2"
* Column types: `str`, `str`
* Examples:
    ```python
    {
      'qid1': '43345',
      'qid2': '43346',
    }
    ```
* Collection strategy: A direct copy of the `quora-IR-dataset/duplicate-mining` as generated from [`create_splits.py`](https://github.com/UKPLab/sentence-transformers/tree/master/examples/training/quora_duplicate_questions/create_splits.py).
* Deduplified: No