add readme

README.md

@@ -0,0 +1,40 @@
+---
+languages: en
+task_categories: text-classification
+tags:
+- long context
+task_ids:
+- multi-class-classification
+- topic-classification
+size_categories: 10K<n<100K
+---
+
+**Patent Classification: a classification of Patents and abstracts (9 classes).** 
+
+This dataset is intended for long context classification (non abstract documents are longer that 512 tokens). \
+Data are sampled from "BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization." by Eva Sharma, Chen Li and Lu Wang 
+ * See: https://aclanthology.org/P19-1212.pdf 
+ * See: https://evasharma.github.io/bigpatent/
+
+It contains 11 slightly unbalanced classes, 35k Patents and abstracts divided into 3 splits: train (25k), val (5k) and test (5k). 
+
+**Note that documents are uncased and space separated (by authors)**
+
+Compatible with [run_glue.py](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) script:
+```
+export MODEL_NAME=roberta-base
+export MAX_SEQ_LENGTH=512
+
+python run_glue.py \
+  --model_name_or_path $MODEL_NAME \
+  --dataset_name ccdv/patent-classification  \
+  --do_train \
+  --do_eval \
+  --max_seq_length $MAX_SEQ_LENGTH \
+  --per_device_train_batch_size 8 \
+  --gradient_accumulation_steps 4 \
+  --learning_rate 2e-5 \
+  --num_train_epochs 1 \
+  --max_eval_samples 500 \
+  --output_dir tmp/patent
+```

patent-classification.py

@@ -9,7 +9,7 @@ _CITATION = None
 
 _DESCRIPTION = """
  Patent Classification Dataset: a classification of Patents (9 classes).
- It contains 11 slightly unbalanced classes, 25k Patents and summaries divided into 3 splits: train (25k), val (5k) and test (5k).
+ It contains 9 unbalanced classes, 25k Patents and summaries divided into 3 splits: train (25k), val (5k) and test (5k).
  Copied from "Long Document Classification From Local Word Glimpses via Recurrent Attention Learning" by JUN HE LIQUN WANG LIU LIU, JIAO FENG AND HAO WU
  See: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8675939
  See: https://github.com/LiqunW/Long-document-dataset