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Cannot load the dataset split (in normal download mode) to extract the first rows.
Error code: NormalRowsError
Exception: RuntimeError
Message: Give up after 5 attempts with ConnectionError
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 986, in _wrap_create_connection
return await self._loop.create_connection(*args, **kwargs) # type: ignore[return-value] # noqa
File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1081, in create_connection
transport, protocol = await self._create_connection_transport(
File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1111, in _create_connection_transport
await waiter
File "/usr/local/lib/python3.9/asyncio/sslproto.py", line 528, in data_received
ssldata, appdata = self._sslpipe.feed_ssldata(data)
File "/usr/local/lib/python3.9/asyncio/sslproto.py", line 188, in feed_ssldata
self._sslobj.do_handshake()
File "/usr/local/lib/python3.9/ssl.py", line 944, in do_handshake
self._sslobj.do_handshake()
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 391, in _info
await _file_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 768, in _file_info
r = await session.get(url, allow_redirects=ar, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/client.py", line 535, in _request
conn = await self._connector.connect(
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 542, in connect
proto = await self._create_connection(req, traces, timeout)
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 907, in _create_connection
_, proto = await self._create_direct_connection(req, traces, timeout)
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 1206, in _create_direct_connection
raise last_exc
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 1175, in _create_direct_connection
transp, proto = await self._wrap_create_connection(
File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/connector.py", line 988, in _wrap_create_connection
raise ClientConnectorCertificateError(req.connection_key, exc) from exc
aiohttp.client_exceptions.ClientConnectorCertificateError: Cannot connect to host ixa2.si.ehu.es:443 ssl:True [SSLCertVerificationError: (1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)')]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/responses/first_rows.py", line 337, in get_first_rows_response
rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)
File "/src/services/worker/src/worker/utils.py", line 123, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/responses/first_rows.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 718, in __iter__
for key, example in self._iter():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 708, in _iter
yield from ex_iterable
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 112, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/doqa/5bc0cb24c4eeb61f2004f1e0ba9b4135cd5a814770b0a042dbf0725e1d2ad1eb/doqa.py", line 158, in _generate_examples
with open(filepath, encoding="utf-8") as f:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 67, in wrapper
return function(*args, use_auth_token=use_auth_token, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 453, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 441, in open
return open_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 273, in open_files
fs, fs_token, paths = get_fs_token_paths(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 606, in get_fs_token_paths
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 268, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 59, in __init__
self.fo = fo.__enter__() # the whole instance is a context
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1034, in open
f = self._open(
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 340, in _open
size = size or self.info(path, **kwargs)["size"]
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 111, in wrapper
return sync(self.loop, func, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 96, in sync
raise return_result
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 53, in _runner
result[0] = await coro
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 404, in _info
raise FileNotFoundError(url) from exc
FileNotFoundError: https://ixa2.si.ehu.es/convai/doqa-v2.1.zip
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 123, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/responses/first_rows.py", line 65, in get_rows
ds = load_dataset(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1746, in load_dataset
builder_instance.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 704, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1227, in _download_and_prepare
super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 771, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/doqa/5bc0cb24c4eeb61f2004f1e0ba9b4135cd5a814770b0a042dbf0725e1d2ad1eb/doqa.py", line 112, in _split_generators
path = dl_manager.download_and_extract(_URL)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 431, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 309, in download
downloaded_path_or_paths = map_nested(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 385, in map_nested
return function(data_struct)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py", line 335, in _download
return cached_path(url_or_filename, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 185, in cached_path
output_path = get_from_cache(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 533, in get_from_cache
raise ConnectionError(f"Couldn't reach {url} ({repr(head_error)})")
ConnectionError: Couldn't reach https://ixa2.si.ehu.es/convai/doqa-v2.1.zip (SSLError(MaxRetryError("HTTPSConnectionPool(host='ixa2.si.ehu.es', port=443): Max retries exceeded with url: /convai/doqa-v2.1.zip (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)')))")))
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/responses/first_rows.py", line 345, in get_first_rows_response
rows = get_rows(
File "/src/services/worker/src/worker/utils.py", line 128, in decorator
raise RuntimeError(f"Give up after {attempt} attempts with ConnectionError") from last_err
RuntimeError: Give up after 5 attempts with ConnectionErrorNeed help to make the dataset viewer work? Open an discussion for direct support.
Dataset Card for "doqa"
Dataset Summary
DoQA is a dataset for accessing Domain Specific FAQs via conversational QA that contains 2,437 information-seeking question/answer dialogues (10,917 questions in total) on three different domains: cooking, travel and movies. Note that we include in the generic concept of FAQs also Community Question Answering sites, as well as corporate information in intranets which is maintained in textual form similar to FAQs, often referred to as internal “knowledge bases”.
These dialogues are created by crowd workers that play the following two roles: the user who asks questions about a given topic posted in Stack Exchange (https://stackexchange.com/), and the domain expert who replies to the questions by selecting a short span of text from the long textual reply in the original post. The expert can rephrase the selected span, in order to make it look more natural. The dataset covers unanswerable questions and some relevant dialogue acts.
DoQA enables the development and evaluation of conversational QA systems that help users access the knowledge buried in domain specific FAQs.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
cooking
- Size of downloaded dataset files: 4.00 MB
- Size of the generated dataset: 10.79 MB
- Total amount of disk used: 14.79 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"answers": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...",
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...",
"followup": "n",
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2",
"orig_answer": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"question": "Ok. What can I add to make it more softer and avoid hardening?",
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?",
"yesno": "x"
}
movies
- Size of downloaded dataset files: 4.00 MB
- Size of the generated dataset: 3.02 MB
- Total amount of disk used: 7.02 MB
An example of 'test' looks as follows.
This example was too long and was cropped:
{
"answers": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...",
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...",
"followup": "n",
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2",
"orig_answer": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"question": "Ok. What can I add to make it more softer and avoid hardening?",
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?",
"yesno": "x"
}
travel
- Size of downloaded dataset files: 4.00 MB
- Size of the generated dataset: 3.07 MB
- Total amount of disk used: 7.07 MB
An example of 'test' looks as follows.
This example was too long and was cropped:
{
"answers": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...",
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...",
"followup": "n",
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2",
"orig_answer": {
"answer_start": [852],
"text": ["CANNOTANSWER"]
},
"question": "Ok. What can I add to make it more softer and avoid hardening?",
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?",
"yesno": "x"
}
Data Fields
The data fields are the same among all splits.
cooking
title: astringfeature.background: astringfeature.context: astringfeature.question: astringfeature.id: astringfeature.answers: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
followup: astringfeature.yesno: astringfeature.orig_answer: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
movies
title: astringfeature.background: astringfeature.context: astringfeature.question: astringfeature.id: astringfeature.answers: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
followup: astringfeature.yesno: astringfeature.orig_answer: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
travel
title: astringfeature.background: astringfeature.context: astringfeature.question: astringfeature.id: astringfeature.answers: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
followup: astringfeature.yesno: astringfeature.orig_answer: a dictionary feature containing:text: astringfeature.answer_start: aint32feature.
Data Splits
cooking
| train | validation | test | |
|---|---|---|---|
| cooking | 4612 | 911 | 1797 |
movies
| test | |
|---|---|
| movies | 1884 |
travel
| test | |
|---|---|
| travel | 1713 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@misc{campos2020doqa,
title={DoQA -- Accessing Domain-Specific FAQs via Conversational QA},
author={Jon Ander Campos and Arantxa Otegi and Aitor Soroa and Jan Deriu and Mark Cieliebak and Eneko Agirre},
year={2020},
eprint={2005.01328},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contributions
Thanks to @mariamabarham, @thomwolf, @lhoestq for adding this dataset.