size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: system
    dtype: string
  - name: mask
    dtype: string
  - name: dataset
    dtype: string
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  splits:
  - name: train
    num_bytes: 166293498.773721
    num_examples: 17082
  download_size: 35834893
  dataset_size: 166293498.773721
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

Made with:
```
from datasets import load_dataset
data = load_dataset("json", data_files="https://huggingface.co/datasets/nvidia/Daring-Anteater/resolve/main/train.jsonl")
data_filtered = data.filter(lambda ex: ex['dataset'] != "synthetic_conv")
data_filtered.push_to_hub("ai2-adapt-dev/daring-anteater-specialized")
```