Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -30,7 +30,7 @@ PILOT-Bench aligns PTAB appeal cases with USPTO patent data at the case level. I
|
|
| 30 |
## Dataset Structure
|
| 31 |
|
| 32 |
### Data Instances
|
| 33 |
-
The data is stored in `
|
| 34 |
|
| 35 |
```json
|
| 36 |
{
|
|
@@ -78,7 +78,7 @@ The key fields in `ptab.json` and the `opinion_split` data are as follows:
|
|
| 78 |
|
| 79 |
## How to use
|
| 80 |
|
| 81 |
-
You can easily load the dataset using the Hugging Face `datasets` library. Since the data is stored in a compressed format (`
|
| 82 |
|
| 83 |
```python
|
| 84 |
from datasets import load_dataset
|
|
|
|
| 30 |
## Dataset Structure
|
| 31 |
|
| 32 |
### Data Instances
|
| 33 |
+
The data is stored in `pilot-bench.tar.gz`. Each instance consists of metadata and text segments partitioned into the IRAC structure using Gemini-2.5-pro.
|
| 34 |
|
| 35 |
```json
|
| 36 |
{
|
|
|
|
| 78 |
|
| 79 |
## How to use
|
| 80 |
|
| 81 |
+
You can easily load the dataset using the Hugging Face `datasets` library. Since the data is stored in a compressed format (`pilot-bench.tar.gz`), you should specify the file in the `data_files` parameter.
|
| 82 |
|
| 83 |
```python
|
| 84 |
from datasets import load_dataset
|