README.md

---
license: apache-2.0
language:
- en
pretty_name: HackerNews comments dataset
dataset_info:
  config_name: default
  features:
    - name: id
      dtype: int64
    - name: deleted
      dtype: bool
    - name: type
      dtype: string
    - name: by
      dtype: string
    - name: time
      dtype: int64
    - name: text
      dtype: string
    - name: dead
      dtype: bool
    - name: parent
      dtype: int64
    - name: poll
      dtype: int64
    - name: kids
      sequence: int64
    - name: url
      dtype: string
    - name: score
      dtype: int64
    - name: title
      dtype: string
    - name: parts
      sequence: int64
    - name: descendants
      dtype: int64
configs:
- config_name: default
  data_files:
  - split: train
    path: items/*.jsonl.zst
---

# Hackernews Comments Dataset

A dataset of all [HN API](https://github.com/HackerNews/API) items from `id=0` till `id=41422887` (so from 2006 till 02 Sep 2024). The dataset is build by scraping the HN API according to its official [schema and docs](https://github.com/HackerNews/API). Scraper code is also available on github: [nixiesearch/hnscrape](https://github.com/nixiesearch/hnscrape)

## Dataset contents

No cleaning, validation or filtering was performed. The resulting data files are raw JSON API response dumps in zstd-compressed JSONL files. An example payload:

```json
{
  "by": "goldfish",
  "descendants": 0,
  "id": 46,
  "score": 4,
  "time": 1160581168,
  "title": "Rentometer: Check How Your Rent Compares to Others in Your Area",
  "type": "story",
  "url": "http://www.rentometer.com/"
}
```

## Usage

You can directly load this dataset with a [Huggingface Datasets](https://github.com/huggingface/datasets/) library.

```shell
pip install datasets zstandard
```

```python
from datasets import load_dataset

ds = load_dataset("nixiesearch/hackernews-comments", split="train")
print(ds.features)

```

## License

Apache License 2.0.