Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Size:
1K - 10K
ArXiv:
Tags:
lost-in-the-middle
License:
license: apache-2.0 | |
configs: | |
- config_name: kv75 | |
data_files: | |
- split: test | |
path: "data/kv75.jsonl" | |
- config_name: kv140 | |
data_files: | |
- split: test | |
path: "data/kv140.jsonl" | |
- config_name: kv300 | |
data_files: | |
- split: test | |
path: "data/kv300.jsonl" | |
- config_name: qa10 | |
data_files: | |
- split: test | |
path: "data/qa10.jsonl" | |
- config_name: qa20 | |
data_files: | |
- split: test | |
path: "data/qa20.jsonl" | |
- config_name: qa30 | |
data_files: | |
- split: test | |
path: "data/qa30.jsonl" | |
task_categories: | |
- question-answering | |
tags: | |
- lost-in-the-middle | |
size_categories: | |
- n<1K | |
# Datasets for Lost In The Middle | |
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. | |
## Datasets Overview | |
The datasets provided are as follows: | |
- **Key-Value Retrieval Datasets** | |
- `kv75`: Key-Value pairs with 75 keys. | |
- `kv140`: Key-Value pairs with 140 keys. | |
- `kv300`: Key-Value pairs with 300 keys. | |
- **Multi-Document Question Answering Datasets** | |
- `qa10`: Questions with answers derived from 10 documents. | |
- `qa20`: Questions with answers derived from 20 documents. | |
- `qa30`: Questions with answers derived from 30 documents. | |
## Loading the Data | |
You can load these datasets using the Hugging Face `datasets` library: | |
```python | |
from datasets import load_dataset | |
### Example for loading the kv75 dataset | |
dataset = load_dataset("bzantium/LITM", "kv75") | |
### Example for loading the qa20 dataset | |
dataset = load_dataset("bzantium/LITM", "qa20") |