Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: ConnectionError
Message: Couldn't reach 'marin-community/token-counts' on the Hub (ReadTimeout)
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1149, in dataset_module_factory
raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
ConnectionError: Couldn't reach 'marin-community/token-counts' on the Hub (ReadTimeout)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Marin Token Counts
Token counts for all datasets used in Marin pretraining runs.
Schema
| Column | Type | Description |
|---|---|---|
dataset |
string | Dataset identifier |
marin_tokens |
int | Number of tokens after tokenization |
category |
string | Content domain (web, code, math, academic, books, etc.) |
synthetic |
bool | Whether the data is LLM-generated or LLM-translated |
Categories
- web — Quality-classified Common Crawl text (Nemotron-CC)
- code — Source code and code-related documents
- math — Math-focused extractions and competition problems
- academic — Peer-reviewed papers and abstracts
- reasoning — Cross-domain reasoning and formal logic
- books — Digitized public domain and open access books
- legal — Court decisions, regulations, patents
- government — Parliamentary proceedings and publications
- education — Open educational resources and textbooks
- encyclopedic — Wiki-style reference content
- forum — Q&A sites and chat logs
- documents — PDF-extracted document text
- translation — Parallel translation corpora
- news — CC-licensed news articles
- media — Transcribed audio/video
- supervised — Curated task datasets
- reference — Niche reference sites
- general — General-domain content
Updates
This dataset is updated by running experiments/count_tokens.py from the Marin repo,
which reads tokenized dataset stats from GCS and pushes the results here.
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