Initial public release of ShamNER v1.0

LICENSE

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+CC-BY-4.0

README.md

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+# Spoken-Arabic Named-Entity Dataset (Levantine NER v1.0)
+
+A curated corpus of Levantine-Arabic sentences annotated for Named Entities, plus parallel dual-annotator files for assessing annotation noise.  
+Ideal for fine-tuning Arabic-BERT–style models on noisy, spoken data and testing cross-register robustness.
+
+---
+
+## 1 Corpus snapshot
+
+| statistic                              | value |
+|----------------------------------------|-------|
+| Sentences (unique set)                 | **23 422** |
+| Sentences incl. 2nd annotator (A + B)  | **29 228** |
+| Tokens (approx.)                       | ~290 k |
+| Annotated entity spans                 | **17 589** |
+| Avg. entities ∕ sentence               | 0.75 |
+| Annotators                             | Arzy · Rawan · Reem · Sabil · Wiam · Amir |
+| Rounds                                 | `round1` – `round5` (natural speech) + `round6` (synthetic news/MSA) |
+| File format                            | JSON Lines (UTF-8) |
+
+### Label inventory
+
+| label  | description             | count |
+|--------|-------------------------|------:|
+| `GPE`  | geopolitical entity     | 4 601 |
+| `PER`  | person                  | 3 628 |
+| `ORG`  | organisation            | 1 426 |
+| `MISC` | misc. named item        | 1 301 |
+| `FAC`  | facility                |   947 |
+| `TIMEX`| temporal expression     |   926 |
+| `DUC`  | product/brand           |   711 |
+| `EVE`  | event                   |   487 |
+| `LOC`  | (non-GPE) location      |   467 |
+| `ANG`  | angle/measure           |   322 |
+| `WOA`  | work of art             |   292 |
+| `TTL`  | title/honorific         |   227 |
+
+---
+
+## 2 File list
+
+| file | lines | purpose |
+|------|------:|---------|
+| **`unique_sentences.jsonl`** | 23 422 | canonical training/dev/test pool (one Levantine sentence per line) |
+| **`iaa_A.jsonl`** | 5 806 | first annotator in each inter-annotator pair (not in `unique`) |
+| **`iaa_B.jsonl`** | 5 806 | second annotator for the same sentences (aligned 1-to-1 with `iaa_A`) |
+| `sentences.parquet` / `spans.parquet` | 52 274 / 17 589 | columnar versions for quick Pandas analysis (optional) |
+
+### Record schema (`unique_sentences.jsonl`)
+
+```jsonc
+{
+  "doc_id"    : 137,
+  "doc_name"  : "22صدى-الصوت22",
+  "sent_id"   : 11,
+  "orig_ID"   : "29891",
+  "round"     : "round3",            // round1-5 natural, round6 synthetic
+  "annotator" : "Rawan",
+  "text"      : "جيب جوال أو أي اشي ضو هيك",
+  "source_type": "social_videos",
+  "spans": [
+    { "start": 4, "end": 8, "label": "DUC" }
+  ],
+
+  // only for round6
+  "msa": {
+    "text"  : "<parallel MSA sentence>",
+    "spans" : [{ "start": 5, "end": 16, "label": "LOC" }]
+  },
+
+  // provenance (optional)
+  "url"  : "https://…",
+  "date" : "2019-05-02 18:30:44"
+}

dataset_card.yaml

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+---
+pretty_name: ShamNER
+license: cc-by-4.0
+language:
+  - ar
+annotations_creators:
+  - expert-annotated
+task_categories:
+  - token-classification
+task_ids:
+  - named-entity-recognition
+multilinguality: monolingual
+---

hf_data/dataset_dict.json

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label_mapping.json

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+  "label2id": {
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+    "B-DUC": 1,
+    "B-EVE": 2,
+    "B-FAC": 3,
+    "B-GPE": 4,
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+  }
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