Datasets:

rides21
/

anneal_pt_v3_clean_v2_reshard_7168

pretty_name: anneal_pt_v3 clean v2 — balanced 7,168 shards
task_categories:
  - text-generation
size_categories:
  - n>1B
tags:
  - pretraining
  - parquet
  - cleaned
  - distributed-training
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.parquet

anneal_pt_v3 clean v2 — balanced 7,168 shards

This is the cleaned and deterministically re-sharded training split of anneal_pt_v3. It contains 2,103,321,326 rows in 7,168 Parquet files (3,376,320,935,167 stored bytes).

The shard count is 8 × lcm(128, 448), so it divides evenly for both intended data-parallel configurations:

Data ranks	Shards per rank	Maximum relative load deviation
128	56	1.4942%
448	16	0.3888%

The files are ordered by a fixed-capacity LPT assignment based on uncompressed text bytes. Consumers that assign ordered, equally sized contiguous file ranges to ranks therefore receive the measured balance above.

Data fields

Cleaning and re-sharding preserve the source Parquet schema. The primary fields are id, text, source, and url. This repository exposes one train split through data/*.parquet.

Cleaning

The conservative v2 policy quarantined 9,614 of 2,103,330,940 source rows (approximately 0.000457%). Quarantined rows are not included in this public dataset repository. A row was quarantined when it matched one or more of:

hard maximum size over 64 MiB;
repeated-line content in a long document;
a very large document concentrated in one line;
excessive control characters;
an identical-character run longer than 10,000 characters;
a high Unicode replacement-character ratio;
whitespace-heavy, low-alphanumeric padding;
a large encoded/base64-like blob.

The policy thresholds and aggregate reason counts are included under metadata/. Reason counts can overlap because one row may match multiple rules. No surviving row content was rewritten: cleaning selected complete rows, and re-sharding only reassigned complete Parquet row groups to output files.

Validation

2,048/2,048 source-cleaning validations passed.
Source row conservation passed: kept + quarantined = source.
The re-sharded output contains exactly 7,168 expected data objects.
Global row count, object set, and rank-load validation passed.

See metadata/full-run-summary-v2.json, metadata/reshard-summary-7168.json, and metadata/reshard-plan-7168.json for machine-readable details. The completed S3-to-Hugging-Face object and byte reconciliation is recorded in metadata/hf-upload-summary.json.

Usage

from datasets import load_dataset

dataset = load_dataset(
    "rides21/anneal_pt_v3_clean_v2_reshard_7168",
    streaming=True,
)
train = dataset["train"]

For large distributed jobs, use the repository file order from metadata/reshard-plan-7168.json rather than relying on an arbitrary object listing order.

Content notice

This is a large web-derived corpus. Automated anomaly filtering is not a substitute for downstream safety, privacy, licensing, or domain-specific review. Users should apply controls appropriate to their use case.