DialoguesEN-50k-Synthesis-Code: 50,000 Synthesized English Dialogues

VDC-team created DialoguesEN-50k-Synthesis-Code, a dataset of 50,000 simple English dialogues synthesized by Python code. The dialogues are built from semantic blocks arranged semi-randomly by a generation algorithm and are intended for pretraining small language models. The dataset was last updated on 2026-06-18.

Use Cases

• Pretraining small language models based on the described 50,000 synthesized dialogues.
• Studying rule-based dialogue generation algorithms based on the described semantic block arrangement.
• Developing conversational agents for casual small talk based on the described English dialogue style.

Strengths

• Contains 50,000 dialogues, providing a substantial volume of text for model training.
• Explicitly designed for pretraining small language models, indicating a focused use case.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetically generated by rule-based code, which may not reflect the complexity of natural human conversation.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

VDC-team

Collection Method

Rule-based synthesis via Python generation algorithm.

Freshness

Last updated 2026-06-18 10:40:50.