Lmsys Chat 1M Clean: A Cleaned and Categorized Conversation Dataset

OpenLeecher processed the lmsys-chat-1m dataset to remove duplicate instructions and apply categorization. The dataset was last updated on December 31, 2024. The cleaning process involved stripping whitespace and punctuation to identify and remove pure duplicate instructions.

Use Cases

• Training or fine-tuning conversational AI models based on cleaned instruction-response pairs.
• Analyzing patterns in user instructions after deduplication.
• Benchmarking text preprocessing or deduplication algorithms on a large-scale chat corpus.
• Studying the distribution of conversation topics after the applied categorization.

Strengths

• Explicitly cleaned to remove pure duplicate instructions, which may reduce redundancy.
• Processing steps, including whitespace and punctuation removal, are documented in the description.
• Dataset was updated on a specific date: 2024-12-31 22:35:13.

Limitations

• Description metadata is limited; actual data quality, categorization schema, and final scale require manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and original data scale are unknown, which may limit suitability assessment.

Provenance

Source

Derived from the 'lmsys-chat-1m' dataset, processed by OpenLeecher.

Collection Method

Data cleaning and categorization project involving removal of duplicate instructions via text normalization.

Time Range

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Freshness

Last updated 2024-12-31 22:35:13; freshness should be verified.

Geography

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