datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yelp_review_fullyelp_academic_dataset_reviewyelp-attrpromptThis is the data used in the paper Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
label.txt: the label name for each class
train.jsonl: The original training set.
valid.jsonl: The original validation set.
test.jsonl: The original test set.
simprompt.jsonl: The training data generated by the simple prompt.
attrprompt.jsonl: The training data generated by the attributed prompt.
yelp_review_NIPS2015yelp_filteredhttps://archive.ics.uci.edu/dataset/331/sentiment+labelled+sentences
This dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015
Please cite the paper if you want to use it :)
It contains sentences labelled with positive or negative sentiment, extracted from reviews of products, movies, and restaurants
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Format:
sentence \t score \n
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Details:
Score is either 1 (for positive) or 0 (for negative)
The… See the full description on the dataset page: https://huggingface.co/datasets/AlexSham/yelp_filtered.yelp-rag-data
Yelp RAG Agent Data
Vector store and source data for the Yelp Business Intelligence Agent demo.
vectorstore/review_chunks.index — FAISS index (60,823 chunks)
vectorstore/review_chunks.pkl — chunk metadata + embeddings + business→indices map
yelp_reviews_sampled_50k.csv — 50k sampled Yelp reviews
yelp_academic_dataset_business.json — Yelp business metadata
Embedding model: sentence-transformers/all-MiniLM-L6-v2.
yelp-data-settext_yelpyelp-review-restaurant-aspect
Dataset Description
Source
This dataset is derived from a publicly available Yelp restaurant review dataset.
Domain
Restaurant reviews.
Subset
The dataset contains 6,000 Yelp restaurant reviews randomly sampled from a larger corpus and annotated for six predefined restaurant sentiment aspects: food, service, ambience, cleanliness, location, and price.
Size
Number of records: 6,000 reviews
Number of labels: 6 aspects
Labels… See the full description on the dataset page: https://huggingface.co/datasets/manmanluo/yelp-review-restaurant-aspect.yelp6Yelp-Restaurantssapient-synth-flan-niv2-fsopt-data-task672-amazon-yelp-summarization
sapient-synth-flan-niv2-fsopt-data-task672-amazon-yelp-summarization
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 259
Task: synthetic anonymous instruction replacement
Generation
Rows were… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-fsopt-data-task672-amazon-yelp-summarization.sapient-synth-flan-niv2-zsopt-data-task672-amazon-yelp-summarization
sapient-synth-flan-niv2-zsopt-data-task672-amazon-yelp-summarization
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 159
Task: synthetic anonymous instruction replacement
Generation
Rows were… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-zsopt-data-task672-amazon-yelp-summarization.yelpA quick usage example of Yelp dataset.
install datasets library
%pip install datasets
import load_dataset
from datasets import load_dataset
Reading the Dataset
ds = load_dataset("recmeapp/yelp", "main_data")
Reading the App MetaData
app_metadata = load_dataset("recmeapp/yelp", "app_meta")
How many dialogs are there in different splits?
train_data = ds['train']
valid_data = ds['val']
test_data = ds['test']
print(f'There are… See the full description on the dataset page: https://huggingface.co/datasets/recmeapp/yelp.