Datasets:

ruanchaves
/

stan_small

Languages: English

Multilinguality: monolingual

Size Categories: unknown

Language Creators: machine-generated

Annotations Creators: expert-generated

Source Datasets: original

ArXiv:

Tags: word-segmentation

License:

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Couldn't get the size of external files in `_split_generators` because a request failed: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0) Please consider moving your data files in this dataset repository instead (e.g. inside a data/ folder).

Error code:   ExternalFilesSizeRequestTimeoutError
Exception:    ReadTimeout
Message:      HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 466, in _make_request
                  six.raise_from(e, None)
                File "<string>", line 3, in raise_from
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 461, in _make_request
                  httplib_response = conn.getresponse()
                File "/usr/local/lib/python3.9/http/client.py", line 1377, in getresponse
                  response.begin()
                File "/usr/local/lib/python3.9/http/client.py", line 320, in begin
                  version, status, reason = self._read_status()
                File "/usr/local/lib/python3.9/http/client.py", line 281, in _read_status
                  line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
                File "/usr/local/lib/python3.9/socket.py", line 704, in readinto
                  return self._sock.recv_into(b)
                File "/usr/local/lib/python3.9/ssl.py", line 1242, in recv_into
                  return self.read(nbytes, buffer)
                File "/usr/local/lib/python3.9/ssl.py", line 1100, in read
                  return self._sslobj.read(len, buffer)
              socket.timeout: The read operation timed out
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 486, in send
                  resp = conn.urlopen(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 798, in urlopen
                  retries = retries.increment(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/util/retry.py", line 550, in increment
                  raise six.reraise(type(error), error, _stacktrace)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/packages/six.py", line 770, in reraise
                  raise value
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 714, in urlopen
                  httplib_response = self._make_request(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 468, in _make_request
                  self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 357, in _raise_timeout
                  raise ReadTimeoutError(
              urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)
              
              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 488, in _is_too_big_from_external_data_files
                  for i, size in enumerate(pool.imap_unordered(get_size, ext_data_files)):
                File "/usr/local/lib/python3.9/multiprocessing/pool.py", line 870, in next
                  raise value
                File "/usr/local/lib/python3.9/multiprocessing/pool.py", line 125, in worker
                  result = (True, func(*args, **kwds))
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 386, in _request_size
                  response = http_head(url, headers=headers, max_retries=3)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 429, in http_head
                  response = _request_with_retry(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 328, in _request_with_retry
                  response = requests.request(method=method.upper(), url=url, timeout=timeout, **params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/api.py", line 59, in request
                  return session.request(method=method, url=url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 532, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)

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index int32	hashtag string	segmentation string	alternatives sequence
0	Typo3	Typo3	{ "segmentation": [ "TYPO3" ] }
1	KolacheFactory	Kolache Factory	{ "segmentation": [] }
2	moanmondays	moan mondays	{ "segmentation": [] }
3	semantic	semantic	{ "segmentation": [] }
4	babypunch	baby punch	{ "segmentation": [] }
5	flossylove	flossy love	{ "segmentation": [] }
6	justsayin	just sayin	{ "segmentation": [] }
7	Logies	Logies	{ "segmentation": [ "logies" ] }
8	football3s	football 3s	{ "segmentation": [] }
9	prosehos	prose hos	{ "segmentation": [ "prosehos" ] }
10	blisters	blisters	{ "segmentation": [] }
11	homebirth	home birth	{ "segmentation": [] }
12	Continental	Continental	{ "segmentation": [] }
13	kentuckyderby	kentucky derby	{ "segmentation": [] }
14	iPhoneForAlonis	iPhone For Alonis	{ "segmentation": [] }
15	gr8conf	gr8conf	{ "segmentation": [ "gr8 conf", "GR8Conf" ] }
16	TWELVE	TWELVE	{ "segmentation": [] }
17	follow	follow	{ "segmentation": [] }
18	nobitchassnessfriday	no bitchassness friday	{ "segmentation": [ "no bitch assness friday", "no bitchass ness friday" ] }
19	openspacecode	openspacecode	{ "segmentation": [ "open space code", "OpenSpace code" ] }
20	thegreenteen	the green teen	{ "segmentation": [] }
21	medifast	medifast	{ "segmentation": [] }
22	Geek	Geek	{ "segmentation": [] }
23	Liverpool	Liverpool	{ "segmentation": [] }
24	phpvikinger	php vikinger	{ "segmentation": [] }
25	xenocide	xenocide	{ "segmentation": [] }
26	campcourage	camp courage	{ "segmentation": [] }
27	stillnotreadyfor100degreeweatherbutluvPhx	still not ready for 100 degree weather but luv Phx	{ "segmentation": [] }
28	McFly	McFly	{ "segmentation": [] }
29	SharePoint	SharePoint	{ "segmentation": [] }
30	LemonTree	Lemon Tree	{ "segmentation": [] }
31	ccnet	ccnet	{ "segmentation": [ "CCNet" ] }
32	hamthrax	hamthrax	{ "segmentation": [ "Hamthrax" ] }
33	PeopleBrowsr	People Browsr	{ "segmentation": [ "PeopleBrowsr", "people browsr" ] }
34	maddie	maddie	{ "segmentation": [] }
35	sota09	sota 09	{ "segmentation": [] }
36	sagepay	sage pay	{ "segmentation": [] }
37	unfollow	unfollow	{ "segmentation": [] }
38	london2009	london 2009	{ "segmentation": [] }
39	charitytuesday	charity tuesday	{ "segmentation": [] }
40	ItsGrimUpNorth	Its Grim Up North	{ "segmentation": [ "It s Grim Up North" ] }
41	elementsc	element sc	{ "segmentation": [] }
42	twares	twares	{ "segmentation": [] }
43	steviewonder	stevie wonder	{ "segmentation": [ "Stevie wonder" ] }
44	fartingloud	farting loud	{ "segmentation": [] }
45	beerfriday	beer friday	{ "segmentation": [] }
46	jonaslive	jonas live	{ "segmentation": [ "Jonas live" ] }
47	vegas	vegas	{ "segmentation": [ "Vegas" ] }
48	appstore	appstore	{ "segmentation": [ "app store" ] }
49	PUGHUG	PUG HUG	{ "segmentation": [ "pug hug" ] }
50	nerdprom	nerd prom	{ "segmentation": [] }
51	otalia	otalia	{ "segmentation": [ "Otalia" ] }
52	girlcrush	girl crush	{ "segmentation": [] }
53	Hunchback	Hunchback	{ "segmentation": [] }
54	trafficza	traffic za	{ "segmentation": [] }
55	writechat	writechat	{ "segmentation": [ "WriteChat", "write chat" ] }
56	codecompletion	code completion	{ "segmentation": [] }
57	magic	magic	{ "segmentation": [] }
58	cartoonavie	cartoon avie	{ "segmentation": [] }
59	HsvTweetup	Hsv Tweetup	{ "segmentation": [] }
60	stc09	stc09	{ "segmentation": [ "stc 09" ] }
61	wishiwasinLA	wish i was in LA	{ "segmentation": [ "wish I was in LA" ] }
62	Prabhakaran	Prabhakaran	{ "segmentation": [] }
63	lions2009	lions 2009	{ "segmentation": [ "Lions 2009" ] }
64	dongle	dongle	{ "segmentation": [] }
65	heartballoon	heart balloon	{ "segmentation": [] }
66	spymaster	spymaster	{ "segmentation": [] }
67	UFC97	UFC97	{ "segmentation": [ "UFC 97" ] }
68	twittermusical	twitter musical	{ "segmentation": [] }
69	COBOL	COBOL	{ "segmentation": [] }
70	familyhistory	family history	{ "segmentation": [] }
71	webdu	webdu	{ "segmentation": [ "webDU", "web du" ] }
72	makerfaire	maker faire	{ "segmentation": [] }
73	sleep	sleep	{ "segmentation": [] }
74	Bruins	Bruins	{ "segmentation": [] }
75	whatcotyisnotdoing	what coty is not doing	{ "segmentation": [ "what COTY is not doing" ] }
76	qanda	q and a	{ "segmentation": [ "Q and A" ] }
77	starwars	star wars	{ "segmentation": [ "Star Wars" ] }
78	auremix	au remix	{ "segmentation": [] }
79	phillycodecamp	philly code camp	{ "segmentation": [] }
80	3wordsaftersex	3 words after sex	{ "segmentation": [] }
81	spoonies	spoonies	{ "segmentation": [] }
82	gfree	gfree	{ "segmentation": [ "g free", "Gfree" ] }
83	bacon	bacon	{ "segmentation": [] }
84	lostthegame	lost the game	{ "segmentation": [] }
85	DRWHO	DR WHO	{ "segmentation": [] }
86	electrohouse	electro house	{ "segmentation": [] }
87	eurovision	eurovision	{ "segmentation": [] }
88	Letmego	Let me go	{ "segmentation": [] }
89	3aaah	3 aaah	{ "segmentation": [] }
90	bck5	bck5	{ "segmentation": [] }
91	MusicMonday	Music Monday	{ "segmentation": [ "music monday" ] }
92	vitaminwater	vitamin water	{ "segmentation": [] }
93	symp09	symp 09	{ "segmentation": [ "symp09", "SYMP 09" ] }
94	dissertation	dissertation	{ "segmentation": [] }
95	Nambu	Nambu	{ "segmentation": [] }
96	asylum	asylum	{ "segmentation": [] }
97	thegreendeath	the green death	{ "segmentation": [] }
98	bittorrent	bit torrent	{ "segmentation": [ "bittorrent", "Bit Torrent" ] }
99	omgimpatient	omg impatient	{ "segmentation": [ "OMG impatient" ] }

End of preview.

YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

YAML Metadata Warning: The task_categories "conditional-text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for STAN Small

Dataset Summary

Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..

Languages

English

Dataset Structure

Data Instances

{
    "index": 300,
    "hashtag": "microsoftfail",
    "segmentation": "microsoft fail",
    "alternatives": {
        "segmentation": [
            "Microsoft fail"
        ]
    }
}

Data Fields

index: a numerical index.
hashtag: the original hashtag.
segmentation: the gold segmentation for the hashtag.
alternatives: other segmentations that are also accepted as a gold segmentation.

Although segmentation has exactly the same characters as hashtag except for the spaces, the segmentations inside alternatives may have characters corrected to uppercase.

Dataset Creation

All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.
The only difference between hashtag and segmentation or between identifier and segmentation are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as _ , :, ~ ).
If there are any annotations for named entity recognition and other token classification tasks, they are given in a spans field.

Additional Information

Citation Information

@misc{bansal2015deep,
      title={Towards Deep Semantic Analysis Of Hashtags}, 
      author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
      year={2015},
      eprint={1501.03210},
      archivePrefix={arXiv},
      primaryClass={cs.IR}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.

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Repository:

mounicam/hashtag_master

Paper:

Multi-task Pairwise Neural Ranking for Hashtag Segmentation