Change task category to text-ranking

README.md

@@ -1,4 +1,12 @@
 ---
+language:
+- en
+license: cc-by-sa-4.0
+size_categories:
+- 100K<n<1M
+task_categories:
+- text-ranking
+pretty_name: HN Remove 100K
 dataset_info:
   features:
   - name: query_id
@@ -25,26 +33,18 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 5424145016
-    num_examples: 247624
-  download_size: 3203790728
-  dataset_size: 5424145016
+    num_bytes: 1693123105
+    num_examples: 93254
+  download_size: 982066477
+  dataset_size: 1693123105
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-*
-license: cc-by-sa-4.0
-task_categories:
-- question-answering
-language:
-- en
-pretty_name: Remove 400K
-size_categories:
-- 100K<n<1M
 ---
 
-# Dataset Card for Remove 400K
+# Dataset Card for HN-Remove 100K
 
 ## Dataset Description
 [Repository](https://github.com/castorini/rlhn) |
@@ -53,11 +53,11 @@ size_categories:
 
 RLHN is a cascading LLM framework designed to accurately relabel hard negatives in existing IR/RAG training datasets, such as MS MARCO and HotpotQA.
 
-This Tevatron dataset (400K training pairs) contains the original queries, positives and hard negatives after dropping each training pair with a single false negative. 
+This Tevatron dataset (100K training pairs) contains the queries, positives, hard negatives (with dropped false negatives) for 7 datasets in the BGE training collection. 
 
 This repository contains the training pairs that can be used to fine-tune embedding, ColBERT or multi-vector, and reranker models. 
 
-The original dataset (bad quality; containing false negatives) can be found at [rlhn/default-400K](https://huggingface.co/datasets/rlhn/default-400K/).
+The original dataset (bad quality; containing false negatives) can be found at [rlhn/default-100K](https://huggingface.co/datasets/rlhn/default-100K/).
 
 > Note: RLHN datasets are not **new** training datasets, but rather existing BGE collection training datasets with hard negatives cleaned!
 
@@ -65,7 +65,7 @@ The original dataset (bad quality; containing false negatives) can be found at [
 
 To access the data using HuggingFace `datasets`:
 ```python
-rlhn = datasets.load_dataset('rlhn/remove-400K')
+rlhn = datasets.load_dataset('rlhn/hn-remove-100K')
 
 # training set:
 for data in freshstack['train']:
@@ -134,5 +134,4 @@ def get_md5_hash(text):
       archivePrefix={arXiv},
       primaryClass={cs.IR},
       url={https://arxiv.org/abs/2505.16967}, 
-}
-```
+}