metadata
dataset_info:
features:
- name: text
dtype: large_string
- name: id
dtype: large_string
- name: dump
dtype: large_string
- name: url
dtype: large_string
- name: file_path
dtype: large_string
- name: language
dtype: large_string
- name: language_score
dtype: float64
- name: token_count
dtype: int64
- name: score
dtype: float64
- name: int_score
dtype: int64
- name: raw_reasoning_score
dtype: float64
- name: reasoning_level
dtype: int64
- name: interpretation
dtype: string
- name: topic
dtype: string
splits:
- name: train
num_bytes: 71924326
num_examples: 10000
download_size: 41962043
dataset_size: 71924326
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
A sample of 10k rows from HuggingFaceFW/fineweb-edu annotated with topics and "reasoning scores".
The topics come from WebOrganizer/TopicClassifier
The reasoning scores come from davanstrien/ModernBERT-based-Reasoning-Required