datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
msmarco-distilbert-margin-mse-mean-dot-v1
MS MARCO with hard negatives from distilbert-margin-mse-mean-dot-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-mean-dot-v1.msmarco-msmarco-distilbert-base-v3
MS MARCO with hard negatives from msmarco-distilbert-base-v3
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:
msmarco-bm25… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3.msmarco-distilbert-margin-mse-sym-mnrl-mean-v2
MS MARCO with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v2
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-sym-mnrl-mean-v2.msmarco-distilbert-margin-mse-cls-dot-v1
MS MARCO with hard negatives from distilbert-margin-mse-cls-dot-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v1.msmarco-msmarco-distilbert-base-tas-b
MS MARCO with hard negatives from msmarco-distilbert-base-tas-b
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-tas-b.msmarco-distilbert-margin-mse-sym-mnrl-mean-v1
MS MARCO with hard negatives from distilbert-margin-mse-sym-mnrl-mean-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-sym-mnrl-mean-v1.msmarco-distilbert-margin-mse-mnrl-mean-v1
MS MARCO with hard negatives from distilbert-margin-mse-mnrl-mean-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-mnrl-mean-v1.msmarco-psgs-distilbert-dot-v5news-ka-shuffled-DISTILBERTmsmarco-distilbert-margin-mse-cls-dot-v2
MS MARCO with hard negatives from distilbert-margin-mse-cls-dot-v2
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v2.news-ka-small-DISTILBERTdistilbert__distilgpt2-details
Dataset Card for Evaluation run of distilbert/distilgpt2
Dataset automatically created during the evaluation run of model distilbert/distilgpt2
The dataset is composed of 44 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/distilbert__distilgpt2-details.chonkiepedia-distilbert-tokenizedmodel-atlas-distilbert-base-uncaseddistilbert_spelling_dataset-v2distilbert_spelling_dataset-v3distilbert_spelling_datasetimdb-distilbert-features
IMDb Movie Reviews - DistilBERT Contextual Embedding Cache
This dataset contains pre-extracted contextual embedding features of the standard IMDb Movie Reviews dataset (Sentiment Analysis). The features were extracted using a frozen DistilBERT (distilbert-base-uncased) encoder.
By caching these high-dimensional embeddings, you can train downstream classifiers (like LSTMs, GRUs, Attention heads, or custom Transformers) in seconds on a local GPU or CPU, bypassing the massive… See the full description on the dataset page: https://huggingface.co/datasets/Merlin041/imdb-distilbert-features.sst2-distilbert-data
SST-2 (GLUE) — Raw Splits Used for Khalyie/sst2-distilbert
Same train/validation/test splits used to fine-tune
Khalyie/sst2-distilbert.
Note: the test split's label column is -1 for every row — GLUE
withholds official test labels. Use validation for labeled evaluation.
Reload with:
from datasets import load_dataset
ds = load_dataset("Khalyie/sst2-distilbert-data")
distilbert-translate
dataloader.py
Dataset Summary
A speech dataset with audio video modality, stored in lmdb format.
Preprocessing & Augmentation
Preprocessing: minimal
Augmentation: mixup cutmix
Splits & Sampling
Split strategy: stratified 90 10
Sampling: contrastive
Quality & Labeling
Quality filtering: strict
Labeling: pseudo label
Files
dataloader.py — main artifact of this repository
License
See… See the full description on the dataset page: https://huggingface.co/datasets/Mmoorejoseph/distilbert-translate.distilbert-parser-finetune
preprocess.py
Dataset Summary
A agriculture dataset with video text modality, stored in csv format.
Preprocessing & Augmentation
Preprocessing: progressive
Augmentation: light
Splits & Sampling
Split strategy: random 90 10
Sampling: weighted
Quality & Labeling
Quality filtering: adaptive
Labeling: pseudo label
Files
preprocess.py — main artifact of this repository
License
See the… See the full description on the dataset page: https://huggingface.co/datasets/Daffasari/distilbert-parser-finetune.hyperpartisan-news-distilbert-tokenssentiment-analysis-distilbert-rotten-tomatoes
Sentiment Analysis NLP Pipeline (Rotten Tomatoes)
This project builds a complete NLP data processing pipeline for sentiment analysis using the Rotten Tomatoes dataset.
The workflow focuses on:
Data exploration
Data cleaning
Feature engineering
Tokenization and model preparation
No model training has been performed yet. This project prepares the dataset for training transformer-based models such as DistilBERT.
Dataset
We use the Rotten Tomatoes dataset from… See the full description on the dataset page: https://huggingface.co/datasets/AmjaadXX/sentiment-analysis-distilbert-rotten-tomatoes.covid-tweet-sentiment-analyzer-distilbert-data
Dataset Card for "covid-tweet-sentiment-analyzer-distilbert-data"
More Information needed
retrieval_verification_bm25_distilbert
Dataset Card for "retrieval_verification_bm25_distilbert"
More Information needed
retrieval_verification_distilbert
Dataset Card for "retrieval_verification_distilbert"
More Information needed
Tweet_sentiment_analysis_Distilbert
Dataset Card for "Tweet_sentiment_analysis_Distilbert"
More Information needed
nyaya-ae-msmarco-distilbert-base-tas-b
Dataset Card for "nyaya-ae-msmarco-distilbert-base-tas-b"
More Information needed
covid-tweet-sentiment-analyzer-distilbert-datafintech-sentiment-distilbert-balanced-v2
Dataset Card for monostate/fintech-sentiment-distilbert-balanced-v2
Dataset Description
This dataset was generated using Vibe Data Director, a tool for creating and curating text classification datasets.
Dataset Summary
Session ID: session_f15db25a
Generated: 2026-03-16T13:09:50.740014
Total Samples: 481
Classes: negative, positive, neutral
Styles: none
Dataset Structure
Data Fields
text (string): The text content of the sample
class… See the full description on the dataset page: https://huggingface.co/datasets/monostate/fintech-sentiment-distilbert-balanced-v2.