Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found raw_redpajamas.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found raw_redpajamas.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Getting Started
The dataset is built from the redpajamas dataset after filtering by marketing keywords list that can be found here
The full scripts to recreate the raw dataset before sharding can be found here.
The dataset includes:
- ~4.8B tokens from raw contents.
Downloading the dataset
To start exploring and get to know the dataset you can run the script:
import datasets
ds = datasets.load_dataset("marketeam/raw_redpajamas", split="train")
for sample in ds:
print(sample) # to print the first sample
alternatively, you can also use streaming:
import datasets
ds = datasets.load_dataset("marketeam/raw_redpajamas", split="train", streaming=True)
for sample in ds:
print(sample)
break # to print the first sample
Languages
Engish
Data Structure
├── data
├── data-0000.json
├── ...
├── data-0003.json
Document structure
{
"url": "...",
"date_download": "2023-03-20T08:44:39Z",
"digest": "sha1:EJNCO5XXIZLG2E3BULUGWCLLJUP2AV2Q",
"length": 6851,
"nlines": 49,
"source_domain": "fenndesign.com",
"title": "...",
"raw_content": "...",
"cc_segment": "...",
"original_nlines": 101,
"original_length": 8192,
"line_ids": [
6,
9,
10,
11
],
"language": "en",
"language_score": 0.9,
"perplexity": 303.6,
"bucket": "head",
"id": "2023-14/0000/en_head.json.gz/25",
"id_int": 4918268498184253468,
"metadata": {
"cc_segment": "...",
"cc_net_source": "2023-14/0000/en_head.json.gz",
"url": "...",
"source_domain": "fenndesign.com",
"language": "en",
"snapshot_id": "2023-14"
},
"quality_signals": {
"ccnet_length": [
[
0,
6851,
6851.0
]
],
"ccnet_original_length": [
[
0,
6851,
8192.0
]
],
"ccnet_nlines": [
[
0,
6851,
49.0
]
],
"ccnet_original_nlines": [
[
0,
6851,
101.0
]
],
"ccnet_language_score": [
[
0,
6851,
0.9
]
]
},
"is_duplicate": false
}
Document quality annotations can be found here
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