---
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-*
---