Create README.md

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- zh
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- token-classification
+task_ids:
+- named-entity-recognition
+paperswithcode_id: nlp-model-tune
+pretty_name: NLP Model Tune
+train-eval-index:
+- config: default
+  task: token-classification
+  task_id: entity_extraction
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    tokens: tokens
+    ner_tags: tags
+  metrics:
+  - type: seqeval
+    name: seqeval
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: tokens
+    sequence: string
+  - name: ner_tags
+    sequence:
+      class_label:
+        names:
+          '0': O,
+          '1': B-CARDINAL,
+          '2': B-DATE,
+          '3': B-EVENT,
+          '4': B-FAC,
+          '5': B-GPE,
+          '6': B-LANGUAGE,
+          '7': B-LAW,
+          '8': B-LOC,
+          '9': B-MONEY,
+          '10': B-NORP,
+          '11': B-ORDINAL,
+          '12': B-ORG,
+          '13': B-PERCENT,
+          '14': B-PERSON,
+          '15': B-PRODUCT,
+          '16': B-QUANTITY,
+          '17': B-TIME,
+          '18': B-WORK_OF_ART,
+          '19': I-CARDINAL,
+          '20': I-DATE,
+          '21': I-EVENT,
+          '22': I-FAC,
+          '23': I-GPE,
+          '24': I-LANGUAGE,
+          '25': I-LAW,
+          '26': I-LOC,
+          '27': I-MONEY,
+          '28': I-NORP,
+          '29': I-ORDINAL,
+          '30': I-ORG,
+          '31': I-PERCENT,
+          '32': I-PERSON,
+          '33': I-PRODUCT,
+          '34': I-QUANTITY,
+          '35': I-TIME,
+          '36': I-WORK_OF_ART,
+          '37': E-CARDINAL,
+          '38': E-DATE,
+          '39': E-EVENT,
+          '40': E-FAC,
+          '41': E-GPE,
+          '42': E-LANGUAGE,
+          '43': E-LAW,
+          '44': E-LOC,
+          '45': E-MONEY,
+          '46': E-NORP,
+          '47': E-ORDINAL,
+          '48': E-ORG,
+          '49': E-PERCENT,
+          '50': E-PERSON,
+          '51': E-PRODUCT,
+          '52': E-QUANTITY,
+          '53': E-TIME,
+          '54': E-WORK_OF_ART,
+          '55': S-CARDINAL,
+          '56': S-DATE,
+          '57': S-EVENT,
+          '58': S-FAC,
+          '59': S-GPE,
+          '60': S-LANGUAGE,
+          '61': S-LAW,
+          '62': S-LOC,
+          '63': S-MONEY,
+          '64': S-NORP,
+          '65': S-ORDINAL,
+          '66': S-ORG,
+          '67': S-PERCENT,
+          '68': S-PERSON,
+          '69': S-PRODUCT,
+          '70': S-QUANTITY,
+          '71': S-TIME,
+          '72': S-WORK_OF_ART'
+  splits:
+  - name: train
+    num_bytes: 235
+    num_examples: 37
+  download_size: 235
+  dataset_size: 235
+---
+
+# Dataset Card for "NLPModel Tune"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** None
+- **Repository:** https://huggingface.co/datasets/ayuhamaro/nlp-model-tune
+- **Paper:** [More Information Needed]
+- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+### Contributions