Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
pretty_name: Bar Exam QA
|
5 |
+
---
|
6 |
+
`Bar Exam QA` is a dataset for legal information retrieval and question answering.
|
7 |
+
|
8 |
+
This repo contains the public MBE subset of questions (historical exams), which we release with gold passage annotations. In our work, we also evaluate on a private test set of questions from a BarBri multistate bar exam test preparation textbook.
|
9 |
+
|
10 |
+
The dataset was created by linking multistate bar exam multiple-choice questions with supporting gold passages from primary sources (caselaw) and secondary sources (online resources, textbooks, etc.).
|
11 |
+
The gold passages were annotated by a law student, simulating a legal research workflow.
|
12 |
+
|
13 |
+
## qa
|
14 |
+
The dataset can be loaded with the `qa` configuration. Each example consists of a question, multiple-choice answers, an answer label, and a gold passage (passage ID) label.
|
15 |
+
The dataset contains 1,195 examples.
|
16 |
+
```python
|
17 |
+
dataset = load_dataset("reglab/barexam_qa", name="qa")
|
18 |
+
```
|
19 |
+
where
|
20 |
+
- `idx`: unique example ID (string)
|
21 |
+
- `prompt`: the question prompt (context before the question, can be shared between questions)
|
22 |
+
- `question`: the question
|
23 |
+
- `choice_a`: answer choice A text
|
24 |
+
- `choice_b`: answer choice B text
|
25 |
+
- `choice_c`: answer choice C text
|
26 |
+
- `choice_d`: answer choice D text
|
27 |
+
- `answer`: A, B, C, or D
|
28 |
+
- `gold_passge`: gold passage text
|
29 |
+
- `gold_idx`: passage ID of gold passage (matches with passage ID in `passages`)
|
30 |
+
|
31 |
+
## passages
|
32 |
+
The passage pool can be loaded with `passages` configuration. Each passages consists of a passage ID, the passage text, and additional metadata if applicable (e.g, case ID for passages from Caselaw Access Project).
|
33 |
+
The passage pool contains ~900K passages.
|
34 |
+
```python
|
35 |
+
dataset = load_dataset("reglab/barexam_qa", name="passages")
|
36 |
+
```
|
37 |
+
where
|
38 |
+
- `idx`: unique passage ID (string)
|
39 |
+
- `faiss_id`: unique Faiss ID (integer)
|
40 |
+
- `case_id`: case ID (from Caselaw Access Project)
|
41 |
+
- `opinion_id`: opinion ID (from Caselaw Access Project)
|
42 |
+
- `absolute_paragraph_id`: paragraph ID in case across all opinions (from Caselaw Access Project)
|
43 |
+
- `relative_paragraph_id`: paragraph ID in opinion (from Caselaw Access Project)
|
44 |
+
- `text`: passage text
|