README.md

---
dataset_info:
  features:
  - name: PMCID
    dtype: string
  - name: sentence
    dtype: string
  - name: entities
    list:
    - name: end
      dtype: int64
    - name: label
      dtype: string
    - name: start
      dtype: int64
    - name: text
      dtype: string
  splits:
  - name: train
    num_bytes: 1783667
    num_examples: 8622
  download_size: 733872
  dataset_size: 1783667
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- token-classification
task_ids:
- named-entity-recognition
language: en
pretty_name: Biomed_CL
---

---

# Silver standard CellLine NER Data

## Dataset Description

*to be completed*

---

## Source Data

*to be completed*

---

## Intended Use

### Primary Use
- Supervised NER training for biomedical NLP tasks

### Not Intended For
- Clinical or patient-level decision making

---

## Dataset Structure

- **Language:** English
- **Splits:** Train 
- **Features:
- **Labels:** 

---

## Preprocessing

- Sentence-level segmentation is enforced

---

## Limitations


---

## Ethical Considerations

- All content originates from publicly available, open-access scientific datasets
- No personal, clinical, or identifiable patient information is included

---

## Citation


```