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--- |
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dataset_info: |
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features: |
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- name: link |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 26081145 |
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num_examples: 129362 |
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download_size: 11920936 |
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dataset_size: 26081145 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: apache-2.0 |
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task_categories: |
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- question-answering |
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- text-generation |
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- text2text-generation |
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language: |
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- en |
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tags: |
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- psychology |
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- philosophy |
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pretty_name: Bill Wurtz Q&A |
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size_categories: |
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- 100K<n<1M |
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--- |
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|
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<div align="center"> |
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<img alt="hi huggingface banner" |
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src="https://cdn-uploads.huggingface.co/production/uploads/640739e3a5e2ff2832ead08b/uO4HuXeoXgd0aQQ2t6Zhw.png" |
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/> |
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</div> |
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<br /> |
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|
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# bill-wurtz |
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All questions Bill Wurtz answers on [billwurtz.com/questions](https://billwurtz.com/questions/questions.html). I think they're pretty humorous. |
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- π£ Fetched on: 2024-3-10 (Mar 10th) |
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- π For tasks: `text-generation`, `question-answering`, + more |
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- π Rows: `129,362` (129k) |
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|
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```python |
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DatasetDict({ |
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train: Dataset({ |
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features: ['link', 'question', 'answer'], |
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num_rows: 129362 |
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}) |
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}) |
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``` |
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|
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## Use This Dataset |
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Download with [π€ Datasets](https://pypi.org/project/datasets): |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("AWeirdDev/bill-wurtz") |
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dataset["train"][0] |
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# => { "link": "...", "question": "your opinion on ceilings?", "answer": "incredible" } |
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``` |
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<details> |
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<summary><b>π§Ή Cleaning the dataset</b></summary> |
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<p> |
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Some questions/answers may be blank. Clean the dataset before you use it. |
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|
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```python |
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from datasets import Dataset |
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|
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raw_dataset = dataset["train"].to_list() |
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|
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for i, d in enumerate(raw_dataset): |
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if not d['question'].strip() or not d['answer'].strip(): |
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del raw_dataset[i] |
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|
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raw_dataset = Dataset.from_list(raw_dataset) |
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raw_dataset |
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# Dataset({ |
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# features: ['link', 'question', 'answer'], |
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# num_rows: 123922 |
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# }) |
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``` |
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</p> |
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</details> |
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|