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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'open_rate', 'reply_rate', 'industry', 'best_send_time'}) and 2 missing columns ({'detail', 'field'}).
This happened while the csv dataset builder was generating data using
hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only/data/industry_benchmarks.csv (at revision 3ae81da80b0146d2980309e7cf56687f9f41bd87), [/tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/compliance.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/compliance.csv), /tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/industry_benchmarks.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/industry_benchmarks.csv), /tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/market_overview.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/market_overview.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
industry: string
open_rate: string
reply_rate: string
best_send_time: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 742
to
{'field': Value('null'), 'detail': Value('null')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'open_rate', 'reply_rate', 'industry', 'best_send_time'}) and 2 missing columns ({'detail', 'field'}).
This happened while the csv dataset builder was generating data using
hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only/data/industry_benchmarks.csv (at revision 3ae81da80b0146d2980309e7cf56687f9f41bd87), [/tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/compliance.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/compliance.csv), /tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/industry_benchmarks.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/industry_benchmarks.csv), /tmp/hf-datasets-cache/medium/datasets/76200117568678-config-parquet-and-info-emailmarketingdataset-dat-714718ad/hub/datasets--emailmarketingdataset--data-worth-a-billion-dollars-for-only/snapshots/3ae81da80b0146d2980309e7cf56687f9f41bd87/data/market_overview.csv (origin=hf://datasets/emailmarketingdataset/data-worth-a-billion-dollars-for-only@3ae81da80b0146d2980309e7cf56687f9f41bd87/data/market_overview.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
industry string | open_rate string | reply_rate string | best_send_time string |
|---|---|---|---|
Technology & Software | 22-31% | 3.5-6.5% | Tuesday-Thursday, 8-10am local |
Healthcare & Medical | 18-26% | 2.0-4.5% | Tuesday-Wednesday, 6:30-8am (before rounds) |
Manufacturing & Engineering | 16-23% | 1.8-3.5% | Tuesday-Thursday, 7-9am (before floor opens) |
Finance & Banking | 15-22% | 1.5-3.2% | Tuesday-Wednesday, 7:30-9am |
Professional Services | 20-28% | 2.5-5.0% | Tuesday-Thursday, 8-10am |
Real Estate | 18-26% | 2-6% | null |
Construction & Real Estate | 17-24% | 2.0-3.8% | Monday, Wednesday, 6-8am (before site visits) |
Legal | 19-27% | 2.2-4.5% | Tuesday-Thursday, 8-10am |
E-commerce | 24-33% | 3.5-6.5% | Tuesday-Thursday, 9-11am |
Oil & Energy | 14-20% | 2-4% | null |
Education & Training | 16-24% | 2-5% | null |
Retail & Commerce | 17-24% | 2-5% | null |
Agriculture & Food | 14-22% | 2-4% | null |
Transportation & Logistics | 16-22% | 2-5% | null |
null | null | null | null |
null | null | null | null |
null | null | null | null |
Data Worth A Billion Dollars For Only $/- — Market Intelligence Dataset
3,000,000,000 verified Worldwide contacts are available from LeadsBlue →. This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the Worldwide segment.
At a glance: Market-intelligence reference data for the Data Worth A Billion Dollars For Only $/- audience — population scale, decision-maker structure, channel benchmarks, and compliance notes drawn from LeadsBlue's B2B data operations.
Key figures
| Metric | Value |
|---|---|
| Verified contacts in segment | 3,000,000,000 |
| Geography | Worldwide |
| Industry verticals benchmarked | 14 |
| License | CC BY 4.0 |
📥 Get the full Data Worth A Billion Dollars For Only $/- — individual verified business records, ready to use: Download from LeadsBlue →
Market overview
This dataset describes the Worldwide business-email segment, comprising 3,000,000,000 verified business contacts in LeadsBlue's database. It provides segment-level scale, cross-industry outreach benchmarks, and channel timing for teams planning business outreach to Worldwide. Benchmark rates below are drawn from LeadsBlue's cross-market cold-email performance study.
Files in this dataset
| File | Contents |
|---|---|
data/market_overview.csv |
Segment-level metrics: contact volume, benchmark rates, send timing |
data/industry_benchmarks.csv |
Open/reply benchmarks across 14 industry verticals |
data/compliance.csv |
Regulatory framework, business culture, decision-maker profile, hubs |
Methodology
Figures are aggregated and anonymized from LeadsBlue's verified contact operations and public business-registry baselines. No personal records are included in this dataset — only segment-level statistics.
How to cite
LeadsBlue Research. (2026). Data Worth A Billion Dollars For Only $/- — Market Intelligence Dataset. Derived from the B2B Cold Email Benchmark Report 2026 (https://doi.org/10.5281/zenodo.20136256). CC BY 4.0. Source: https://leadsblue.com
@dataset{leadsblue_data_worth_a_billion_dollars_for_only_2026,
author = {Johnson, Luther},
title = {Data Worth A Billion Dollars For Only $/- -- Market Intelligence Dataset},
year = {2026},
publisher = {LeadsBlue Research},
doi = {10.5281/zenodo.20136256},
url = {https://leadsblue.com/leads/data-worth-a-billion-dollars-for-only-999/}
}
Source & full dataset
This aggregate dataset is published by LeadsBlue Research. The full verified targeted email list — with individual business contact records — is available at Data Worth A Billion Dollars For Only $/-.
Related resources: Benchmark report (Zenodo) · Research hub · Interactive tools
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