Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K - 10K
License:
File size: 1,296 Bytes
dfcac40 1011ff0 dfcac40 1011ff0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
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
```
|