Datasets:
Tasks:
Token Classification
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Arabic
Size:
10K - 100K
License:
Committed local README.md changes before pull.
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README.md
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---
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pretty_name: ShamNER
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license: cc-by-4.0
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task_categories:
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- token-classification
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language:
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- ar
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data_files:
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train: train.parquet
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validation: validation.parquet
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test: test.parquet
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list:
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dtype: int64
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dtype: string
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splits:
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- name: train
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num_bytes: 5148727
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num_examples: 19783
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- name: validation
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num_bytes: 328887
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num_examples: 1795
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- name: test
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num_bytes: 313228
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num_examples: 1844
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download_size: 2302809
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dataset_size: 5790842
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---
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# ShamNER – Spoken Arabic Named‑Entity Recognition Corpus (Levantine v1.1)
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ShamNER is a curated corpus of Levantine‑Arabic sentences annotated for Named Entities, plus dual annotation to check for consisetency (`agreement`) across human annotators.
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`iaa_A.jsonl` and `iaa_B.jsonl` contain parallel annotations for the same 5 806 sentences. Use them to measure agreement or experiment with noise‑robust training. These sentences **do not** overlap with the primary train/val/test splits. As stated above, only `iaa_A.jsonl` were injected into the train, dev and test set.
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© 2025 · CC BY‑4.0
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---
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pretty_name: ShamNER
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license: cc-by-4.0
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language:
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- ar
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annotations_creators:
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- expert-annotated
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task_categories:
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- token-classification
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task_ids:
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- named-entity-recognition
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multilinguality: monolingual
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data_files:
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train: train.parquet
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validation: validation.parquet
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test: test.parquet
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iaa_A: iaa_A.parquet
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iaa_B: iaa_B.parquet
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splits:
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- name: train
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num_examples: 19532
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- name: validation
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num_examples: 1931
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- name: test
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num_examples: 1959
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- name: iaa_A
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num_examples: 5806
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- name: iaa_B
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num_examples: 5806
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---
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# ShamNER – Spoken Arabic Named‑Entity Recognition Corpus (Levantine v1.1)
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ShamNER is a curated corpus of Levantine‑Arabic sentences annotated for Named Entities, plus dual annotation to check for consisetency (`agreement`) across human annotators.
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`iaa_A.jsonl` and `iaa_B.jsonl` contain parallel annotations for the same 5 806 sentences. Use them to measure agreement or experiment with noise‑robust training. These sentences **do not** overlap with the primary train/val/test splits. As stated above, only `iaa_A.jsonl` were injected into the train, dev and test set.
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© 2025 · CC BY‑4.0
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