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--- |
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language: |
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- en |
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pretty_name: "AI/Technology Articles" |
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tags: |
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- temporal series data |
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- language data |
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license: mit |
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task_categories: |
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- text-generation |
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- feature-extraction |
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--- |
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# AI/Tech Dataset |
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This dataset is a collection of AI/tech articles scraped from the web. |
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It's hosted on [HuggingFace Datasets](https://huggingface.co/datasets/siavava/ai-tech-articles), so it is easier to load in and work with. |
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## To load the dataset |
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### 1. Install [HuggingFace Datasets](https://huggingface.co/docs/datasets/installation.html) |
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```bash |
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pip install datasets |
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``` |
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### 2. Load the dataset |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("siavava/ai-tech-articles") |
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# optionally, convert it to a pandas dataframe: |
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df = dataset["train"].to_pandas() |
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``` |
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> [!NOTE] |
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> You do not need to clone this repo. |
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> |
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> HuggingFace will download the dataset for you, the first time that you load it, |
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> and cache it so it does not need to re-download it again |
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> (unless it detects a change upstream). |
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## File Structure |
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- [analytics.ipynb](analytics.ipynb) - Notebook containing some details about the dataset and how to load it. |
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- [data/index.parquet](./index.csv) - compressed [parquet](https://www.databricks.com/glossary/what-is-parquet) containing the data. |
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- For raw text files, see the [scraper repo](https://github.com/siavava/scrape.hs) on GitHub. |
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