h2osiri / data /create_data_cards.py
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import shutil
import pandas as pd
import os
import huggingface_hub
import pytest
from datasets import load_dataset
@pytest.mark.parametrize(
"dataset_name, link_to_source",
[
(
"h2ogpt-oig-instruct-cleaned",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/b8f15efcc305a953c52a0ee25b8b4897ceb68c0a/scrape_dai_docs.py)
"""
),
(
"h2ogpt-oig-instruct-cleaned-v2",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/40c217f610766715acec297a5535eb440ac2f2e2/create_data.py)
"""
),
(
"h2ogpt-oig-instruct-cleaned-v3",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/bfc3778c8db938761ce2093351bf2bf82159291e/create_data.py)
"""
),
(
"openassistant_oasst1",
"""
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/45e6183171fb16691ad7d3ab006fad973f971e98/create_data.py#L1253)
"""
),
(
"h2ogpt-oig-oasst1-instruct-cleaned-v1",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/main/docs/FINETUNE.md#high-quality-oig-based-instruct-data)
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/5fc91911bc2bfaaf3b6c2de577c4b0ae45a07a4a/create_data.py#L1253)
"""
),
(
"h2ogpt-oig-oasst1-instruct-cleaned-v2",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/main/docs/FINETUNE.md#high-quality-oig-based-instruct-data)
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/0e70c2fbb16410bd8e6992d879b4c55cd981211f/create_data.py#L1375-L1415)
"""
),
(
"h2ogpt-oig-oasst1-instruct-cleaned-v3",
"""
- [Original LAION OIG Dataset](https://github.com/LAION-AI/Open-Instruction-Generalist)
- [LAION OIG data detoxed and filtered down by scripts in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/main/docs/FINETUNE.md#high-quality-oig-based-instruct-data)
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/6728938a262d3eb5e8db1f252bbcd7de838da452/create_data.py#L1415)
"""
),
(
"openassistant_oasst1_h2ogpt",
"""
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/83857fcf7d3b712aad5db32207e6db0ab0f780f9/create_data.py#L1252)
"""
),
(
"openassistant_oasst1_h2ogpt_graded",
"""
- [Original Open Assistant data in tree structure](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [This flattened dataset created by script in h2oGPT repository](https://github.com/h2oai/h2ogpt/blob/d1f8ce975a46056d41135d126dd33de8499aa26e/create_data.py#L1259)
"""
),
(
"h2ogpt-fortune2000-personalized",
"""
- [Fortune 2000 companies from Wikipedia](https://github.com/h2oai/h2ogpt/blob/b1ea74c0088884ebff97f1ccddbfb3f393e29e44/create_data.py#L1743)
"""
),
],
)
def test_create_data_cards(dataset_name, link_to_source):
if dataset_name != "h2ogpt-fortune2000-personalized":
return
#
assert os.path.exists("README-template.md"), "must be running this test from the data dir."
shutil.rmtree(dataset_name, ignore_errors=True)
try:
repo = huggingface_hub.Repository(
local_dir=dataset_name,
clone_from="h2oai/%s" % dataset_name,
repo_type="dataset",
skip_lfs_files=True,
token=True,
)
repo.git_pull()
except Exception as e:
print(str(e))
print("call 'huggingface_cli login' first and provide access token with write permission")
dataset = load_dataset("h2oai/%s" % dataset_name)["train"]
pd.set_option('display.max_columns', None)
with open("README-template.md", "r") as f:
content = f.read()
assert "<<DATASET_NAME>>" in content
content = content.replace("<<DATASET_NAME>>", dataset_name)
assert "<<NROWS>>" in content
content = content.replace("<<NROWS>>", str(dataset.num_rows))
assert "<<NCOLS>>" in content
content = content.replace("<<NCOLS>>", str(dataset.num_columns))
assert "<<COLNAMES>>" in content
content = content.replace("<<COLNAMES>>", str(dataset.column_names))
# assert "<<PREVIEW>>" in content
# content = content.replace("<<PREVIEW>>", str(dataset.to_pandas().iloc[:5, :]))
assert "<<SOURCE_LINK>>" in content
content = content.replace("<<SOURCE_LINK>>", link_to_source)
assert "<<" not in content
assert ">>" not in content
with open(os.path.join(dataset_name, "README.md"), "w") as f:
f.write(content)
try:
repo.commit("Update README.md")
repo.push_to_hub()
except Exception as e:
print(str(e))