Datasets:

Umean
/

B2NERD

@@ -12,7 +12,7 @@ Our B2NER models, trained on B2NERD, outperform GPT-4 by 6.8-12.0 F1 points and
  - 📖 Paper: [Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](http://arxiv.org/abs/2406.11192)
  - 🎮 Github Repo: https://github.com/UmeanNever/B2NER
- - 📀 Data: See below data section. You can download from here (Files) or [Google Drive](https://drive.google.com/file/d/11Wt4RU48i06OruRca2q_MsgpylzNDdjN/view?usp=drive_link).
  - 💾 Model (LoRA Adapters): On the way
 See github repo for more information about data usage and this work.
@@ -25,7 +25,7 @@ We provide 3 versions of our dataset.
  - `B2NERD_all`: Contain ~1.4M samples from 54 datasets. The full-data version of our dataset suitable for in-domain supervised evaluation. It has standardized entity definitions but does not undergo any data selection or pruning.
  - `B2NERD_raw`: The raw collected datasets with raw entity labels. It goes through basic format preprocessing but without further standardization.
-You can download the data from [HuggingFace](https://huggingface.co/datasets/Umean/B2NERD) or [Google Drive](https://drive.google.com/file/d/1JW3ZZPlJ5vm_upn0msihI9FQjo4TmZDI/view?usp=sharing). Current data is uploaded as .zip for convenience. We are considering upload raw data files for better preview.
 Please ensure that you have the proper licenses to access the raw datasets in our collection.
 Below are the datasets statistics and source datasets for `B2NERD` dataset.

  - 📖 Paper: [Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](http://arxiv.org/abs/2406.11192)
  - 🎮 Github Repo: https://github.com/UmeanNever/B2NER
+ - 📀 Data: See below data section. You can download from here (in "Files and versions" tab) or [Google Drive](https://drive.google.com/file/d/11Wt4RU48i06OruRca2q_MsgpylzNDdjN/view?usp=drive_link).
  - 💾 Model (LoRA Adapters): On the way
 See github repo for more information about data usage and this work.
  - `B2NERD_all`: Contain ~1.4M samples from 54 datasets. The full-data version of our dataset suitable for in-domain supervised evaluation. It has standardized entity definitions but does not undergo any data selection or pruning.
  - `B2NERD_raw`: The raw collected datasets with raw entity labels. It goes through basic format preprocessing but without further standardization.
+You can download the data from here (in "Files and versions" tab) or [Google Drive](https://drive.google.com/file/d/1JW3ZZPlJ5vm_upn0msihI9FQjo4TmZDI/view?usp=sharing). Current data is uploaded as .zip for convenience. We are considering upload raw data files for better preview.
 Please ensure that you have the proper licenses to access the raw datasets in our collection.
 Below are the datasets statistics and source datasets for `B2NERD` dataset.