Datasets:
metadata
license: odc-by
task_categories:
- text-generation
- text2text-generation
- text-classification
dataset_info:
features:
- name: title
dtype: string
- name: score
dtype: int64
- name: selftext
dtype: string
- name: created
dtype: timestamp[ns]
- name: url
dtype: string
- name: author
dtype: string
- name: domain
dtype: string
- name: edited
dtype: timestamp[ns]
- name: gilded
dtype: int64
- name: gildings
dtype: string
- name: id
dtype: string
- name: locked
dtype: bool
- name: media
dtype: string
- name: name
dtype: string
- name: permalink
dtype: string
- name: spoiler
dtype: bool
- name: stickied
dtype: bool
- name: thumbnail
dtype: string
- name: ups
dtype: int64
- name: preview
dtype: string
splits:
- name: train
num_bytes: 63987685
num_examples: 48322
download_size: 30264888
dataset_size: 63987685
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
tags:
- reddit
size_categories:
- 10K<n<100K
r/LocalLLaMA posts
Posts from r/LocalLLaMA pulled up through Jan 6, 2025 with arctic-shift. Now you can check if your wonderfully thought out post hasn't already been asked 30x
Usage
For simple semantic search, try loading it in the vectorsearch-hub-datasets space: