metadata

license: apache-2.0
dataset_info:
  features:
    - name: data
      dtype: string
  splits:
    - name: train
      num_bytes: 4864562
      num_examples: 98472
  download_size: 3180212
  dataset_size: 4864562
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-generation
  - text2text-generation
language:
  - en
pretty_name: Simple Daily Conversations Cleaned
size_categories:
  - 10K<n<100K

Dataset Card

This dataset contains a cleaned version of simple daily conversations. It comprises nearly 98K text snippets representing informal, everyday dialogue, curated and processed for various Natural Language Processing tasks.

Uses

Direct Use

This dataset is ideal for:

Training language models on informal, everyday conversational data.
Research exploring linguistic patterns in casual conversation.

Out-of-Scope Use

The dataset may not be suited for tasks requiring structured or contextually rich conversations (e.g., multi-turn dialogues with defined context).
It is not intended for applications involving sensitive personal data since it represents generic conversational snippets.

Dataset Structure

The dataset is stored in CSV format with a single column:

data: Each record is a string representing one conversation snippet.

Dataset Creation

Curation Rationale

The dataset was created to support research and development in the field of natural language processing, particularly in areas where understanding everyday conversation is essential. It addresses the need for a clean, standardized corpus of informal text that reflects typical daily interactions.

Source Data

The raw data was collected from various sources containing informal conversation text. After aggregation, a thorough cleaning process was applied to remove noise, correct formatting, and eliminate any non-relevant content.

Data Collection and Processing

Collection: The initial texts were gathered from publicly available sources of conversational data.
Processing: The data underwent preprocessing steps including lowercasing, punctuation normalization, and removal of extraneous symbols to ensure consistency across all entries.

Personal and Sensitive Information

The dataset does not contain any personal, sensitive, or private information. All texts are generic in nature, ensuring privacy and confidentiality.

Bias, Risks, and Limitations

The dataset reflects the informal nature of daily conversations and may carry inherent linguistic biases or idiosyncrasies common in casual speech. Users should be aware that:

Informal language and slang may not be representative of formal writing.
The dataset might include regional or cultural biases present in the source material.

Recommendations

Users are encouraged to:

Validate models trained on this dataset with additional data sources.
Be mindful of the informal tone and potential biases when deploying applications in sensitive contexts.

Citation

BibTeX:

@misc {aarohan_verma_2025,
    author       = { {Aarohan Verma} },
    title        = { simple-daily-conversations-cleaned },
    year         = 2025,
    url          = { https://huggingface.co/datasets/aarohanverma/simple-daily-conversations-cleaned },
    doi          = { 10.57967/hf/4880 },
    publisher    = { Hugging Face }
}

Model Card Contact

For inquiries or further information, please contact:

LinkedIn: https://www.linkedin.com/in/aarohanverma/

Email: [email protected]