datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Reddit_fi_2006_2022
Dataset Card for "Reddit_fi_2006_2022"
Dataset Summary
Reddit_fi is a filtered and post-processed corpus consisting of comments from Reddit.
Some words of caution at this stage however. Subreddits were not filtered as in ScandiReddit to filter out any specific subreddits that could have hate speech, toxicity, biased. Be careful when training language models with this data and curate you dataset properly.
All Reddit comments from January 2006 up until December 2022 were… See the full description on the dataset page: https://huggingface.co/datasets/Finnish-NLP/Reddit_fi_2006_2022.reddit-posts-summarization-grpo
GRPO Summarization Eval Rollouts
Evaluation artifacts for all GRPO summarization checkpoints from smolcluster — a distributed GRPO training framework for Apple Silicon Mac clusters.
Two base models were fine-tuned across two training strategies and six reward configurations each, then evaluated on 200 examples from the mlabonne/smoltldr test split.
Judge: gpt-5-mini-2025-08-07 · Framework: DeepEval G-Eval · Rounds: 5 averaged · Metrics (each 0–1): Faithfulness · Coverage ·… See the full description on the dataset page: https://huggingface.co/datasets/YuvrajSingh9886/reddit-posts-summarization-grpo.reddit-comments-sample
Reddit Comment Trees Sample — Initial snapshot
Initial sample: 43,913 posts and 59,874 comments across three communities.
This is a selected, structurally checked snapshot, with incomplete subreddit coverage. It is not a complete three-month archive.
Overview
Posts and associated comments from r/LocalLLaMA, r/wallstreetbets, and r/SkincareAddiction.
The requested post window is June 1–August 31, 2026 in Asia/Shanghai, with UTC bounds 2026-05-31 16:00:00… See the full description on the dataset page: https://huggingface.co/datasets/mashu-data/reddit-comments-sample.ChatML-reddit-instruct-curatedeuclaise/reddit-instruct-curated in ChatML format, ready to use in HuggingFace TRL's SFT Trainer.
Python code used for conversion:
from datasets import load_dataset
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Felladrin/Llama-160M-Chat-v1")
dataset = load_dataset("euclaise/reddit-instruct-curated", split="train")
def format(columns):
post_title = columns["post_title"].strip()
post_text = columns["post_text"].strip()
comment_text =… See the full description on the dataset page: https://huggingface.co/datasets/Felladrin/ChatML-reddit-instruct-curated.reddit-sre-corpus
Reddit SRE + Founder corpus (v2)
1475 unique posts scraped from 15 subreddits between 2013-06-14 and 2026-06-19. Built for product discovery on the Kubernetes Incident Autopilot hypothesis — agents that reason at inference time through incident diagnosis, with humans in an override loop.
Subreddits (15)
SRE tier: r/sre, r/devops, r/kubernetes, r/sysadmin, r/aws, r/azure, r/gcp, r/programming, r/ExperiencedDevs, r/chaosengineering
Founder tier: r/Entrepreneur… See the full description on the dataset page: https://huggingface.co/datasets/quantranger/reddit-sre-corpus.reddit_dataset_193
Bittensor Subnet 13 Reddit Dataset
Miner Data Compliance Agreement
In uploading this dataset, I am agreeing to the Macrocosmos Miner Data Compliance Policy.
Dataset Summary
This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks.
For more… See the full description on the dataset page: https://huggingface.co/datasets/RentonWEB3/reddit_dataset_193.