Datasets:

agentlans
/

multilingual-document-classification

Tasks:

Text Classification

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Tags:

cross-lingual-classification

domain-adaptation

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@@ -140,7 +140,7 @@ language:
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 # Multilingual Document Classification Dataset
-This dataset contains **100,000 text passages** across **100 non-English language-script pairs** sourced from the [`agentlans/HuggingFaceFW-finetranslations-100-languages-sample`]([https://huggingface.co/datasets/agentlans/HuggingFaceFW-finetranslations-100-languages-sample](https://huggingface.co/datasets/agentlans/HuggingFaceFW-finetranslations-100-languages-sample)) collection.
 Each original text passage is paired with its English translation and has been programmatically annotated with domain, writing genre, and educational classifications to facilitate cross-lingual classification and domain adaptation tasks.
@@ -161,8 +161,8 @@ The dataset contains subset configurations tailored for specific training object
 To generate granular metadata for domain, genre, and cognitive level, two primary text classifiers were applied to the **English translations**:
-1. **[`nvidia/domain-classifier`]([https://huggingface.co/nvidia/domain-classifier](https://huggingface.co/nvidia/domain-classifier))** – Extracts high-level topical domains.
-2. **[`EssentialAI/eai-distill-0.5b`]([https://huggingface.co/EssentialAI/eai-distill-0.5b](https://huggingface.co/EssentialAI/eai-distill-0.5b))** – Extracts genre, cognitive depth, and educational level. See the [EAI Taxonomy Schema](https://github.com/Essential-AI/eai-taxonomy#dataset-schema-documentation) for detailed definitions.
 ### Key Classification Fields

 ---
 # Multilingual Document Classification Dataset
+This dataset contains **100,000 text passages** across **100 non-English language-script pairs** sourced from the [`agentlans/HuggingFaceFW-finetranslations-100-languages-sample`](https://huggingface.co/datasets/agentlans/HuggingFaceFW-finetranslations-100-languages-sample) collection.
 Each original text passage is paired with its English translation and has been programmatically annotated with domain, writing genre, and educational classifications to facilitate cross-lingual classification and domain adaptation tasks.
 To generate granular metadata for domain, genre, and cognitive level, two primary text classifiers were applied to the **English translations**:
+1. **[`nvidia/domain-classifier`](https://huggingface.co/nvidia/domain-classifier)** – Extracts high-level topical domains.
+2. **[`EssentialAI/eai-distill-0.5b`](https://huggingface.co/EssentialAI/eai-distill-0.5b)** – Extracts genre, cognitive depth, and educational level. See the [EAI Taxonomy Schema](https://github.com/Essential-AI/eai-taxonomy#dataset-schema-documentation) for detailed definitions.
 ### Key Classification Fields