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README.md

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+---
+language:
+- en
+task_categories:
+- token-classification
+task_ids:
+- named-entity-recognition
+tags:
+- ner
+- conll2003
+size_categories:
+- 10K<n<100K
+---
+
+# CoNLL-2003 Named Entity Recognition Dataset
+
+This is a self-contained version of the CoNLL-2003 dataset for Named Entity Recognition (NER).
+
+**🔒 No `trust_remote_code` required** - This dataset uses only standard parquet files with no custom loading scripts.
+
+## Dataset Description
+
+The CoNLL-2003 shared task dataset consists of newswire text from the Reuters corpus tagged with four entity types: persons (PER), locations (LOC), organizations (ORG), and miscellaneous (MISC).
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance contains:
+- `id`: Unique identifier for the example
+- `tokens`: List of tokens (words)
+- `pos_tags`: List of part-of-speech tags
+- `chunk_tags`: List of chunk tags
+- `ner_tags`: List of named entity tags
+
+### Data Splits
+
+- **train**: 14,041 examples
+- **validation**: 3,250 examples
+- **test**: 3,453 examples
+
+### Features
+
+- **tokens** (list of strings): The words in the sentence
+- **pos_tags** (list of ClassLabel): Part-of-speech tags
+- **chunk_tags** (list of ClassLabel): Chunk tags (phrases)
+- **ner_tags** (list of ClassLabel): Named entity tags with BIO scheme
+  - O: Outside any named entity
+  - B-PER: Beginning of a person name
+  - I-PER: Inside a person name
+  - B-ORG: Beginning of an organization name
+  - I-ORG: Inside an organization name
+  - B-LOC: Beginning of a location name
+  - I-LOC: Inside a location name
+  - B-MISC: Beginning of a miscellaneous entity
+  - I-MISC: Inside a miscellaneous entity
+
+## Usage
+
+This dataset is completely self-contained and does NOT require `trust_remote_code=True`. All data is bundled in parquet files.
+
+### Loading from Hugging Face Hub
+
+```python
+from datasets import load_dataset
+
+# Load the dataset directly from the Hub
+dataset = load_dataset("YOUR_USERNAME/conll2003")
+
+# Access splits
+train_data = dataset["train"]
+validation_data = dataset["validation"]
+test_data = dataset["test"]
+```
+
+### Loading from Local Files
+
+```python
+from datasets import load_dataset
+
+# Load the dataset from local parquet files
+dataset = load_dataset('parquet', data_files={
+    'train': 'data/train.parquet',
+    'validation': 'data/validation.parquet',
+    'test': 'data/test.parquet'
+})
+```
+
+### Example Usage
+
+```python
+# Get an example
+example = train_data[0]
+print("Tokens:", example["tokens"])
+# Output: ['EU', 'rejects', 'German', 'call', 'to', 'boycott', 'British', 'lamb', '.']
+
+print("NER tags:", example["ner_tags"])
+# Output: [3, 0, 7, 0, 0, 0, 7, 0, 0]
+
+# Convert NER tags to readable labels
+ner_feature = train_data.features["ner_tags"].feature
+ner_labels = [ner_feature.int2str(tag) for tag in example["ner_tags"]]
+print("NER labels:", ner_labels)
+# Output: ['B-ORG', 'O', 'B-MISC', 'O', 'O', 'O', 'B-MISC', 'O', 'O']
+```
+
+## Citation
+
+```
+@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
+    title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
+    author = "Tjong Kim Sang, Erik F. and De Meulder, Fien",
+    booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
+    year = "2003",
+    pages = "142--147",
+    url = "https://www.aclweb.org/anthology/W03-0419",
+}
+```
+
+## License
+
+The dataset is licensed under the same terms as the original CoNLL-2003 dataset.

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dataset_infos.json

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+{
+  "default": {
+    "description": "The CoNLL-2003 shared task dataset for Named Entity Recognition (NER).",
+    "citation": "@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,\n    title = \"Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition\",\n    author = \"Tjong Kim Sang, Erik F. and De Meulder, Fien\",\n    booktitle = \"Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003\",\n    year = \"2003\",\n    pages = \"142--147\",\n    url = \"https://www.aclweb.org/anthology/W03-0419\",\n}",
+    "homepage": "https://www.aclweb.org/anthology/W03-0419",
+    "license": "",
+    "features": {
+      "id": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "tokens": {
+        "feature": {
+          "dtype": "string",
+          "_type": "Value"
+        },
+        "length": -1,
+        "_type": "Sequence"
+      },
+      "pos_tags": {
+        "feature": {
+          "names": [
+            "\"",
+            "''",
+            "#",
+            "$",
+            "(",
+            ")",
+            ",",
+            ".",
+            ":",
+            "``",
+            "CC",
+            "CD",
+            "DT",
+            "EX",
+            "FW",
+            "IN",
+            "JJ",
+            "JJR",
+            "JJS",
+            "LS",
+            "MD",
+            "NN",
+            "NNP",
+            "NNPS",
+            "NNS",
+            "NN|SYM",
+            "PDT",
+            "POS",
+            "PRP",
+            "PRP$",
+            "RB",
+            "RBR",
+            "RBS",
+            "RP",
+            "SYM",
+            "TO",
+            "UH",
+            "VB",
+            "VBD",
+            "VBG",
+            "VBN",
+            "VBP",
+            "VBZ",
+            "WDT",
+            "WP",
+            "WP$",
+            "WRB"
+          ],
+          "_type": "ClassLabel"
+        },
+        "length": -1,
+        "_type": "Sequence"
+      },
+      "chunk_tags": {
+        "feature": {
+          "names": [
+            "O",
+            "B-ADJP",
+            "I-ADJP",
+            "B-ADVP",
+            "I-ADVP",
+            "B-CONJP",
+            "I-CONJP",
+            "B-INTJ",
+            "I-INTJ",
+            "B-LST",
+            "I-LST",
+            "B-NP",
+            "I-NP",
+            "B-PP",
+            "I-PP",
+            "B-PRT",
+            "I-PRT",
+            "B-SBAR",
+            "I-SBAR",
+            "B-UCP",
+            "I-UCP",
+            "B-VP",
+            "I-VP"
+          ],
+          "_type": "ClassLabel"
+        },
+        "length": -1,
+        "_type": "Sequence"
+      },
+      "ner_tags": {
+        "feature": {
+          "names": [
+            "O",
+            "B-PER",
+            "I-PER",
+            "B-ORG",
+            "I-ORG",
+            "B-LOC",
+            "I-LOC",
+            "B-MISC",
+            "I-MISC"
+          ],
+          "_type": "ClassLabel"
+        },
+        "length": -1,
+        "_type": "Sequence"
+      }
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 6504416,
+        "num_examples": 14041,
+        "dataset_name": "conll2003"
+      },
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+        "num_examples": 3250,
+        "dataset_name": "conll2003"
+      },
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+        "name": "test",
+        "num_bytes": 1604588,
+        "num_examples": 3453,
+        "dataset_name": "conll2003"
+      }
+    },
+    "download_size": 0,
+    "dataset_size": 9617816
+  }
+}