Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - RAG | |
| - Chunk_Classification | |
| - Agriculture | |
| size_categories: | |
| - 1K<n<10K | |
| ## Description | |
| The datasets contain human evaluation of retrieved chunks from agriculture documents for actual user queries. | |
| Each chunk is marked as relevant and irrelevant. The relevant and irrelevant portion of the chunks are mentioned in a separate columns. | |
| The dataset consists of multiple XLS files and each XLS file has multiple sheets corresponding to the content for the value chain. | |
| The queries are taken from the actual user questions onf farmer.chat prototype bots. | |
| For each user query and response, the chunks used and the metadata is give. | |
| ## Process | |
| Four human evaluators were asked to review questions, corresponding responses and then evaluate corresponding chunks as to whether it is relevant or irrelevant and mark relevant portion. | |
| The human evaluators selected were not from agriculture domain to avoid bias in the evaluation process. | |
| To maximise coverage, the conversation logs have been taken from different geographies: Kenya and Madhya Pradesh, Rajasthan, Uttar Pradesh (India). | |
| The dataset is also taken from different value chains and date range from November 2023 to January 2024. | |