Mobile Legends Play Store Reviews: 2.5 Million Unfiltered User Comments

Mobile Legends Play Store Reviews (2.5M Rows) is a dataset of 2.5 million unfiltered user reviews for the Mobile Legends: Bang Bang (MLBB) game. The raw description indicates the data is intended for NLP tasks, specifically tracking mentions of the 'Dark System' and toxicity. The dataset's author, organization, and last update date are unknown.

Use Cases

• Train toxicity detection models based on the unfiltered review text mentioned in the description.
• Analyze player sentiment trends over time based on the large volume of review data.
• Track the frequency and context of 'Dark System' mentions as a specific community concern.
• Benchmark NLP models for sentiment classification on informal, user-generated text from a gaming context.

Strengths

• Contains 2.5 million data points, providing a substantial sample for analysis.
• Explicitly targets NLP analysis of toxicity and a specific game feature ('Dark System').

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Data may reflect temporal and source bias inherent to its collection from a single platform.

Provenance

Source

Kaggle

Collection Method

Likely scraped from the Google Play Store.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null