datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
openassistant-falcon
Chat Fine-tuning Dataset - OpenAssistant Falcon
This dataset allows for fine-tuning chat models using '\Human:' AND '\nAssistant:' to wrap user messages.
It still uses <|endoftext|> as EOS and BOS token, as per Falcon.
Sample
Preparation:
The dataset is cloned from TimDettmers, which itself is a subset of the Open Assistant dataset, which you can find here. This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples.
The… See the full description on the dataset page: https://huggingface.co/datasets/Trelis/openassistant-falcon.bhoomi50ktext_to_sql_FALCONfalcon-toc-generationreddit_falcon_summariesfalcon-4000-datasetbhoomidatasetVoseo_TweetsNisoridatasetFalconChatAnomalies
FalconChatAnomalies
tags: NaturalLanguageProcessing, AnomalyDetection, ChatbotConversations
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'FalconChatAnomalies' dataset contains transcribed chatbot conversations that include references or misuse of the term "American falcon" in various contexts. The dataset is intended for training machine learning models in natural language processing (NLP) to detect anomalies in chatbot… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/FalconChatAnomalies.Falcon-TST_challenging_cases
Falcon-TST Forecasting Experiment
Model
Model used in this experiment:Falcon-TST Large
Full Code
The full experiment code can be found here:https://colab.research.google.com/drive/193rraeQxrkGQIgh_Ab4Sp4939Pa0oEAu?usp=sharing
Loading the Model
Example snippet used to load the model in Google Colab:
import torch
from transformers import AutoModel
model = AutoModel.from_pretrained(
"ant-intl/Falcon-TST_Large",
trust_remote_code=True
)… See the full description on the dataset page: https://huggingface.co/datasets/TugaYousif/Falcon-TST_challenging_cases.bhoomifalcon_180b_v1falcon3-blind-spots
Falcon3-3B-Base Blind Spots Dataset
Model Tested
Falcon3-3B-Base by Technology Innovation Institute (TII)
This is a raw pretrained 3B parameter language model trained on web,
code, STEM, and multilingual data. It has NOT been fine-tuned for
instruction following or chat.
What This Dataset Is
This dataset contains 10 examples where Falcon3-3B-Base produces
incorrect or misleading outputs. These are called "blind spots" —
areas where the model clearly fails… See the full description on the dataset page: https://huggingface.co/datasets/Ghina-Elsharif/falcon3-blind-spots.