Datasets:
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---
license: apache-2.0
task_categories:
- text-generation
tags:
- Genomics
---
Dataset for Fine-tuning Mistral Model on Tata and No Tata Sequences
Description
This dataset is specifically curated for training the Mistral model to distinguish between 'tata' and 'no tata' sequences. It is derived and reformatted from a dataset originally created by InstaDeep, tailored to enhance the performance of natural language processing models in identifying specific patterns.
Dataset Information
Features: This dataset consists of sequences represented as strings under the 'text' feature.
Splits: The dataset is divided into two splits:
Train: 53,276 examples
Test: 5,920 examples
---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 18491278
num_examples: 53276
- name: test
num_bytes: 2054722
num_examples: 5920
download_size: 9488224
dataset_size: 20546000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
--- |