Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Size:
1K - 10K
ArXiv:
Tags:
lost-in-the-middle
License:
Update README.md
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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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task_categories:
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- question-answering
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tags:
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- lost-in-the-middle
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size_categories:
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- n<1K
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---
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# Datasets for Lost In The Middle
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This repository contains datasets used in the paper ["Lost in the Middle: How Language Models Use Long Contexts"](https://arxiv.org/abs/2307.03172), focusing on multi-document question answering and key-value retrieval tasks.
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## Datasets Overview
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The datasets provided are as follows:
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- **Key-Value Retrieval Datasets**
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- `kv75`: Key-Value pairs with 75 keys.
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- `kv140`: Key-Value pairs with 140 keys.
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- `kv300`: Key-Value pairs with 300 keys.
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- **Multi-Document Question Answering Datasets**
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- `qa10`: Questions with answers derived from 10 documents.
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- `qa20`: Questions with answers derived from 20 documents.
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- `qa30`: Questions with answers derived from 30 documents.
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## Loading the Data
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You can load these datasets using the Hugging Face `datasets` library:
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```python
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from datasets import load_dataset
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### Example for loading the kv75 dataset
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dataset = load_dataset("bzantium/LITM", "kv75")
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### Example for loading the qa20 dataset
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dataset = load_dataset("bzantium/LITM", "qa20")
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