Agriculture_v2: Hindi to Indian Languages Translation Corpus for Farming

Agriculture_v2 is a high-quality parallel corpus for machine translation in the agriculture domain. It was created by author coild-aikosh and last updated on March 11, 2026. The corpus covers topics such as crop practices, farming techniques, weather advisories, and government schemes.

Use Cases

• Train machine translation models based on the described agriculture-domain parallel corpus.
• Fine-tune translation systems for specific topics like crop practices and farming techniques mentioned in the description.
• Evaluate translation quality for Indian languages using the manually translated and reviewed entries.

Strengths

• Entries are manually translated and source-reviewed, indicating a focus on quality.
• The corpus is structured with folders following the HIN-<LANG> convention for specific language pairs.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Manually translated and source-reviewed entries.

Freshness

Last updated 2026-03-11 14:44:14; freshness should be verified.

Geography

India (implied by focus on Hindi and Indian languages)