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---
task_categories:
- text-generation
language:
- en
tags:
- report-generation
- information retrieval
- retrieval
- generation
- legal
- law
size_categories:
- 1M<n<10M
---
# Usage
The dataset is in folder according to the task and type (e.g. `generation` or `collection` for IR).
You can load a specific file (say the test set of the generation task) with this command:
```python
from datasets import load_dataset
dataset = load_dataset("jhu-clsp/CLERC", data_files={"data": f"generation/test.jsonl"})["data"]
```
# Dataset Description:
CLERC is a large-scale dataset of federal case law from the paper (https://arxiv.org/abs/2406.17186). It has a few subsets:
1. collection: records 1.84M original federal case law, both in doc and passage forms. This can be used for doing retrieval or alternative tasks.
2. generation: includes data for the RAG task as described in the paper. Also see the github (https://github.com/bohanhou14/CLERC) for more details.
3. qrels and queries: qrels and queries used for the retrieval task, all following MSMARCO formats.
4. triples, teva_train_triples: triples in different formats for evaluation and training (with tevatron)
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