The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 725, in send
                  history = [resp for resp in gen]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 725, in <listcomp>
                  history = [resp for resp in gen]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 266, in resolve_redirects
                  resp = self.send(
                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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id
string
hit_ids
sequence
sentence
string
indices_into_review_text
sequence
model_0_label
string
model_0_probs
dict
text_id
string
review_id
string
review_rating
int32
label_distribution
dict
gold_label
string
metadata
dict
r1-0000001
[ "y5238" ]
Roto-Rooter is always good when you need someone right away.
[ 0, 60 ]
positive
{ "negative": 0.01173639390617609, "positive": 0.7473671436309814, "neutral": 0.24089649319648743 }
r1-0000001
IDHkeGo-nxhqX4Exkdr08A
1
{ "positive": [ "w130", "w186", "w207", "w264", "w54" ], "negative": [], "neutral": [], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000002
[ "y11155" ]
It's so worth the price of cox service over headaches of not being able to publish anything in a short amount of time on the Internet or frankly just stream in different rooms without buffering constantly.
[ 155, 360 ]
positive
{ "negative": 0.004590339958667755, "positive": 0.950273871421814, "neutral": 0.04513582959771156 }
r1-0000002
HERx4qHWIVDwH3AME9OYgQ
1
{ "positive": [ "w129", "w375", "w39" ], "negative": [ "w70" ], "neutral": [], "mixed": [ "w477" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000003
[ "y14984", "y17992" ]
I placed my order of "sticky ribs" as an appetizer and the "angry chicken" as my entree.
[ 530, 618 ]
negative
{ "negative": 0.9451407194137573, "positive": 0.004023305606096983, "neutral": 0.05083595588803291 }
r1-0000003
gCshZ3zPCaAwu8sAejmTcA
5
{ "positive": [ "w133" ], "negative": [], "neutral": [ "w135", "w184", "w38", "w439" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000004
[ "y1167", "y297" ]
There is mandatory valet parking, so make sure you get everything you need from the car!
[ 798, 886 ]
positive
{ "negative": 0.0416930615901947, "positive": 0.5428488254547119, "neutral": 0.4154581129550934 }
r1-0000004
JeLaSy9T3-pdVj_fQ6JX9A
5
{ "positive": [], "negative": [ "w135" ], "neutral": [ "w148", "w207", "w294", "w772" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000006
[ "y11412", "y19170", "y4073" ]
My wife and I couldn't finish it.
[ 294, 327 ]
negative
{ "negative": 0.977493166923523, "positive": 0.0006850706995464861, "neutral": 0.02182171680033207 }
r1-0000006
o-5hLEypDxR4jXjbmzkNBA
5
{ "positive": [], "negative": [ "w254" ], "neutral": [ "w176", "w328", "w39", "w598" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000007
[ "y2002" ]
I went with a revised quote and they set an appointment for the next week.
[ 732, 806 ]
negative
{ "negative": 0.6572147011756897, "positive": 0.09853064268827438, "neutral": 0.2442547082901001 }
r1-0000007
jttEKPQZ6UImUQVubG1GDg
5
{ "positive": [ "w280" ], "negative": [], "neutral": [ "w265", "w46", "w490", "w936" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000008
[ "y14885", "y16948" ]
I found out that the restaurant has only been open for about a week.
[ 138, 206 ]
negative
{ "negative": 0.45139288902282715, "positive": 0.12103912234306335, "neutral": 0.4275679886341095 }
r1-0000008
W8GvEfQ2qShtF7iRmehWVw
5
{ "positive": [], "negative": [], "neutral": [ "w137", "w310", "w415", "w460", "w627" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000010
[ "y18243", "y4069", "y4712" ]
I suffer with high blood pressure, headaches, type 2 diabetes and TMJ.
[ 449, 519 ]
neutral
{ "negative": 0.3392733931541443, "positive": 0.30037474632263184, "neutral": 0.36035192012786865 }
r1-0000010
uKrOYLnAVUsB1GE2huJt4A
5
{ "positive": [], "negative": [ "w155", "w193", "w204", "w620" ], "neutral": [ "w133" ], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000011
[ "y19430", "y2698" ]
Seriously, come here now before the hype sets in and you won't be able to get a table!
[ 1060, 1146 ]
positive
{ "negative": 0.026026399806141853, "positive": 0.8168579936027527, "neutral": 0.15711559355258942 }
r1-0000011
80r8He9zm4G1aR5N_7EP3Q
5
{ "positive": [ "w132", "w173", "w227" ], "negative": [], "neutral": [ "w447" ], "mixed": [ "w23" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000012
[ "y3416" ]
It was difficult to find the place.
[ 86, 121 ]
neutral
{ "negative": 0.2690688669681549, "positive": 0.2074701339006424, "neutral": 0.5234610438346863 }
r1-0000012
B6mQSD5qLmd0kaaTzRh8jw
5
{ "positive": [ "w385", "w591" ], "negative": [ "w290", "w539", "w552" ], "neutral": [], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000013
[ "y5784", "y801" ]
And their shuffleboard game.
[ 1282, 1310 ]
neutral
{ "negative": 0.041217926889657974, "positive": 0.04401402175426483, "neutral": 0.9147680997848511 }
r1-0000013
0DGlwRVW-m7RHGJOTWuR1A
5
{ "positive": [], "negative": [], "neutral": [ "w165", "w199", "w285", "w368", "w62" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000014
[ "y14474", "y19184" ]
Need a cheap spatula?
[ 542, 563 ]
neutral
{ "negative": 0.3583439886569977, "positive": 0.03304021805524826, "neutral": 0.6086158156394958 }
r1-0000014
aXrReHdGItNRnkijnVRH4g
5
{ "positive": [], "negative": [], "neutral": [ "w129", "w134", "w305", "w424", "w8" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000015
[ "y15969" ]
Mexican.
[ 7, 15 ]
neutral
{ "negative": 0.01613759435713291, "positive": 0.05673476681113243, "neutral": 0.9271275997161865 }
r1-0000015
FLqOVx0X5I4srqLMilNapQ
1
{ "positive": [], "negative": [], "neutral": [ "w143", "w188", "w625", "w707", "w716" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000016
[ "y11207", "y5687", "y7110" ]
Coronado Cafe and Kate's corner are still awesome but I think we will be venturing out to other casinos and see if we find out new spot.
[ 1520, 1656 ]
positive
{ "negative": 0.05092405527830124, "positive": 0.48395779728889465, "neutral": 0.4651181399822235 }
r1-0000016
pF1rD1WnVxbXddq3aRsAww
1
{ "positive": [ "w143", "w265", "w755" ], "negative": [], "neutral": [ "w577" ], "mixed": [ "w44" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000017
[ "y3946", "y8055" ]
Not sure why, just my observation.
[ 768, 802 ]
neutral
{ "negative": 0.0760495588183403, "positive": 0.0820464938879013, "neutral": 0.8419039249420166 }
r1-0000017
mh-RYGiocnxElg2BUltuyw
5
{ "positive": [], "negative": [], "neutral": [ "w198", "w210", "w22", "w35", "w671" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000019
[ "y1429" ]
You win!
[ 54, 62 ]
positive
{ "negative": 0.00790376216173172, "positive": 0.9436400532722473, "neutral": 0.048456232994794846 }
r1-0000019
nDW0K0d9rclQPLy5ZIgFAg
1
{ "positive": [ "w155", "w199", "w234", "w289" ], "negative": [], "neutral": [ "w326" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000020
[ "y11167", "y18763", "y580" ]
I'm not affiliated with Presto I was just super impressed by the food!
[ 1098, 1168 ]
positive
{ "negative": 0.0017010181909427047, "positive": 0.9760681390762329, "neutral": 0.02223076857626438 }
r1-0000020
kyzuLHLnr421QgJaNuGOxA
1
{ "positive": [ "w122", "w135", "w314", "w572" ], "negative": [], "neutral": [], "mixed": [ "w102" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000021
[ "y6427" ]
We told him again.
[ 3527, 3545 ]
neutral
{ "negative": 0.007084425538778305, "positive": 0.08201110363006592, "neutral": 0.9109045267105103 }
r1-0000021
rLA1DJqBZaigZsmC4FnlAw
1
{ "positive": [ "w187" ], "negative": [ "w321" ], "neutral": [ "w121", "w436", "w598" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000022
[ "y1837", "y9030" ]
Being that the place serves tapas-style plates, be prepared to spend a little more $$$.
[ 2288, 2375 ]
neutral
{ "negative": 0.17849618196487427, "positive": 0.12436950206756592, "neutral": 0.6971343159675598 }
r1-0000022
UbEhejiR-HxMMnHn6v9cEg
5
{ "positive": [], "negative": [ "w144", "w22", "w4" ], "neutral": [ "w296", "w57" ], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000023
[ "y12204", "y12390" ]
Don't kiss the desserts, not your typical.
[ 152, 194 ]
positive
{ "negative": 0.041412170976400375, "positive": 0.5366756916046143, "neutral": 0.42191219329833984 }
r1-0000023
BjN3IQJ43dojMdv9wl_Sdg
5
{ "positive": [], "negative": [ "w393" ], "neutral": [ "w129", "w153", "w222", "w60" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000024
[ "y17573", "y18578" ]
I went for dinner on a Sunday night.
[ 0, 36 ]
neutral
{ "negative": 0.31058475375175476, "positive": 0.19066913425922394, "neutral": 0.4987460970878601 }
r1-0000024
Gn99xywF2rb0cMhKM9q1YA
1
{ "positive": [], "negative": [], "neutral": [ "w135", "w212", "w439", "w832" ], "mixed": [ "w245" ] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000025
[ "y9164" ]
This is the place I always think of when a Strip hotel bar or swanky "lounge" charges me $12 for a precisely-measured (read: "stingy") something-and-soda.
[ 0, 154 ]
negative
{ "negative": 0.9054734110832214, "positive": 0.006846081931143999, "neutral": 0.08768061548471451 }
r1-0000025
4PUNdhRaBOkJM5GfJmADmA
5
{ "positive": [], "negative": [ "w16", "w193", "w444", "w566" ], "neutral": [], "mixed": [ "w299" ] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000026
[ "y11583" ]
Going to Arizona Tile!
[ 429, 451 ]
positive
{ "negative": 0.0066894968040287495, "positive": 0.9693523049354553, "neutral": 0.023958249017596245 }
r1-0000026
z3vCmcosGT_36M2hzdtnBQ
1
{ "positive": [ "w109", "w235" ], "negative": [], "neutral": [ "w114", "w188", "w50" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000028
[ "y15462", "y15471", "y15472" ]
How can the price go up in a recession!?!?!
[ 145, 188 ]
negative
{ "negative": 0.7989655137062073, "positive": 0.06025974452495575, "neutral": 0.14077478647232056 }
r1-0000028
hpTU0Ja222KsJx-CuvjIUA
5
{ "positive": [], "negative": [ "w239", "w279", "w32" ], "neutral": [ "w439" ], "mixed": [ "w123" ] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000029
[ "y14529", "y14827" ]
He deserves to be performing at a classier place.
[ 1354, 1403 ]
negative
{ "negative": 0.8333871960639954, "positive": 0.006685946602374315, "neutral": 0.15992677211761475 }
r1-0000029
bw3vosBf_rHAoS0eGdA3CA
5
{ "positive": [ "w160", "w205", "w58" ], "negative": [], "neutral": [ "w297", "w467" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000030
[ "y20182", "y7954" ]
We brought a bottle that we got from Napa.
[ 369, 411 ]
neutral
{ "negative": 0.3160594403743744, "positive": 0.06637421250343323, "neutral": 0.6175663471221924 }
r1-0000030
O-yk04uEf8eIFRmKHDZvvg
5
{ "positive": [], "negative": [], "neutral": [ "w247", "w33", "w415", "w544", "w85" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000031
[ "y13773", "y14834", "y20171" ]
We all ordered different things ranging from Ahi Tuna salad (I ordered it), harissa chicken, and tacos to pastas.
[ 500, 613 ]
neutral
{ "negative": 0.05926955118775368, "positive": 0.3318365514278412, "neutral": 0.608893871307373 }
r1-0000031
znhAL0FGtHI1QvfOWVaKcA
1
{ "positive": [], "negative": [], "neutral": [ "w135", "w195", "w32", "w395", "w40" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000032
[ "y8785", "y8786", "y8787" ]
At the desk helping another customer.
[ 2702, 2739 ]
neutral
{ "negative": 0.06068446487188339, "positive": 0.06318043917417526, "neutral": 0.8761351108551025 }
r1-0000032
5xg-_vPwlLn-FwhxSu5jpA
1
{ "positive": [], "negative": [], "neutral": [ "w140", "w176", "w311", "w55", "w858" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000033
[ "y20226", "y2623" ]
We got there for the 2eme service.
[ 272, 306 ]
negative
{ "negative": 0.5338059663772583, "positive": 0.07982441782951355, "neutral": 0.38636961579322815 }
r1-0000033
pVJeOZuF4LuZ_bcpyJUAEw
5
{ "positive": [], "negative": [], "neutral": [ "w132", "w224", "w26", "w39", "w609" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000034
[ "y16154", "y8881" ]
These are not coney dogs like Detroit Coney Grill down the street or James Coney Island hotdogs.
[ 244, 340 ]
negative
{ "negative": 0.6885123252868652, "positive": 0.05628788471221924, "neutral": 0.2551998198032379 }
r1-0000034
MfQp0XS26ReG1G0vg8n4VQ
1
{ "positive": [], "negative": [ "w1379", "w276" ], "neutral": [ "w161", "w50", "w57" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000035
[ "y3780" ]
It starts with the letter "T".
[ 1242, 1272 ]
neutral
{ "negative": 0.06260791420936584, "positive": 0.02929362840950489, "neutral": 0.9080985188484192 }
r1-0000035
9n4mMHpVvQUWQfFW7lYmLQ
5
{ "positive": [ "w536", "w630", "w641" ], "negative": [ "w931" ], "neutral": [], "mixed": [ "w599" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000037
[ "y14435", "y4772" ]
USED to love Otro.
[ 0, 18 ]
neutral
{ "negative": 0.3612070679664612, "positive": 0.019209854304790497, "neutral": 0.6195831298828125 }
r1-0000037
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1
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000038
[ "y3622" ]
But thankfully 3 breads and rice.
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neutral
{ "negative": 0.20799744129180908, "positive": 0.11209027469158173, "neutral": 0.679912269115448 }
r1-0000038
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1
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000039
[ "y2991" ]
We found some fabulous restaurants to explore.
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positive
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r1-0000039
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1
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000041
[ "y14583", "y15728", "y903" ]
She said that would take too long but reluctantly went and got the stuff to do that.
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positive
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r1-0000041
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1
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000042
[ "y14012" ]
If I had known this, I would have never switched.
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negative
{ "negative": 0.8083490133285522, "positive": 0.023676613345742226, "neutral": 0.1679743379354477 }
r1-0000042
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5
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000043
[ "y10860", "y4834" ]
I was very nervous to go to the DMV.
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negative
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r1-0000043
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5
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000044
[ "y10458", "y3697", "y4620" ]
But now I'm a confirmed kool aid drinker.
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neutral
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r1-0000044
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5
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000045
[ "y10536" ]
I am a bit of a Barro's freak, and it's tops on my list for diet cheats...
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positive
{ "negative": 0.009173555299639702, "positive": 0.9459954500198364, "neutral": 0.044831033796072006 }
r1-0000045
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5
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000046
[ "y18639", "y8159" ]
Make sure you ask for Mike.
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positive
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r1-0000046
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5
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000047
[ "y13459", "y20210" ]
We figured we would have a few drinks and a burger... we ended up trying all the appetizers on their happy hour menu and we tried their surf and turf burger.
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neutral
{ "negative": 0.03101534955203533, "positive": 0.4221387505531311, "neutral": 0.5468458533287048 }
r1-0000047
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5
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000048
[ "y6297" ]
Always in a hurry in the morning.
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neutral
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r1-0000048
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5
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000049
[ "y16365", "y5303", "y7031" ]
The whole family was excited to know there was a new restaurant near by.
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positive
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r1-0000049
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1
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000050
[ "y20509", "y8279" ]
nor will you like 42% of restaurants on yelp.
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negative
{ "negative": 0.7531530261039734, "positive": 0.009166456758975983, "neutral": 0.23768050968647003 }
r1-0000050
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5
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000051
[ "y13037", "y17918" ]
I never actually met this promoter.
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neutral
{ "negative": 0.34164538979530334, "positive": 0.08946441859006882, "neutral": 0.5688900947570801 }
r1-0000051
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5
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000052
[ "y1577" ]
How can he miss us???
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negative
{ "negative": 0.699152946472168, "positive": 0.09727346152067184, "neutral": 0.203573539853096 }
r1-0000052
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1
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000053
[ "y11835", "y19259" ]
Nothing comes even close to being half as good on quality, service, selection, pricing, knowledge, financing, etc.
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negative
{ "negative": 0.9755499958992004, "positive": 0.007948880083858967, "neutral": 0.016501160338521004 }
r1-0000053
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5
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000054
[ "y16231" ]
STEER CLEAR!
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positive
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r1-0000054
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1
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000055
[ "y2339" ]
Loud bang.
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neutral
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r1-0000055
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1
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000056
[ "y16412" ]
Its a safeway company so if you are from Cali use your Safeway Club Card.
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neutral
{ "negative": 0.19671232998371124, "positive": 0.3089805841445923, "neutral": 0.4943070411682129 }
r1-0000056
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5
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000057
[ "y17219", "y18027", "y4371" ]
The spinach was pretty flavorless, though.
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negative
{ "negative": 0.6507993936538696, "positive": 0.01997697725892067, "neutral": 0.3292236626148224 }
r1-0000057
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5
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000058
[ "y16136", "y7841" ]
I booked this hotel for a room on Jan 2 2015.
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negative
{ "negative": 0.9394829869270325, "positive": 0.015047682449221611, "neutral": 0.04546929523348808 }
r1-0000058
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1
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000059
[ "y10361", "y12272", "y9827" ]
We ended up here Saturday afternoon as we waited for the ASU tailgating scene to get going (which it never really did).
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negative
{ "negative": 0.5339961647987366, "positive": 0.06769336014986038, "neutral": 0.39831045269966125 }
r1-0000059
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5
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000060
[ "y1892", "y3074" ]
Dog friendly?
[ 0, 13 ]
neutral
{ "negative": 0.14081043004989624, "positive": 0.22970275580883026, "neutral": 0.6294868588447571 }
r1-0000060
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1
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000061
[ "y4513", "y4632" ]
After measuring it we figured it would fit in our trunk but it didn't.
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negative
{ "negative": 0.5146036148071289, "positive": 0.061822276562452316, "neutral": 0.42357414960861206 }
r1-0000061
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5
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000062
[ "y4735" ]
I have eaten at this place many times over the years and always been happy with the food and the service.
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positive
{ "negative": 0.005712695419788361, "positive": 0.9148672223091125, "neutral": 0.07942002266645432 }
r1-0000062
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1
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positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000063
[ "y2228", "y2750", "y8975" ]
is unbarable.
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positive
{ "negative": 0.004676783457398415, "positive": 0.88719642162323, "neutral": 0.10812681168317795 }
r1-0000063
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1
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negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000064
[ "y15403", "y16180" ]
I call again.
[ 1139, 1152 ]
neutral
{ "negative": 0.012055614031851292, "positive": 0.08838760852813721, "neutral": 0.8995567560195923 }
r1-0000064
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1
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000065
[ "y20186", "y7804", "y9147" ]
We asked for sriracha sauce three times to three different people before finally giving up.
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negative
{ "negative": 0.9765224456787109, "positive": 0.0004989303415641189, "neutral": 0.022978641092777252 }
r1-0000065
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5
{ "positive": [ "w23" ], "negative": [ "w17", "w222", "w365", "w41" ], "neutral": [], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000066
[ "y17829", "y8360" ]
I was seated and they explained how everything worked...
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positive
{ "negative": 0.023700831457972527, "positive": 0.7174158692359924, "neutral": 0.2588832974433899 }
r1-0000066
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1
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neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000068
[ "y4233" ]
Not the case with Irrigation Repair Service of Gilbert (IRS - don't be afraid of the acronym), which supplied the utmost competence on all three selling points.
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positive
{ "negative": 0.1365562230348587, "positive": 0.8118839263916016, "neutral": 0.051559895277023315 }
r1-0000068
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5
{ "positive": [ "w114", "w128", "w226", "w376", "w57" ], "negative": [], "neutral": [], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000070
[ "y12192", "y1297" ]
Do not buy from them until you compare!!!!
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negative
{ "negative": 0.9605700373649597, "positive": 0.012229292653501034, "neutral": 0.027200721204280853 }
r1-0000070
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5
{ "positive": [], "negative": [ "w100", "w420", "w490", "w617" ], "neutral": [ "w80" ], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000071
[ "y10423" ]
It's served alongside our garlic bread and made fresh daily, so get yours before we run out!"
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positive
{ "negative": 0.0009642356890253723, "positive": 0.9684404730796814, "neutral": 0.030595267191529274 }
r1-0000071
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1
{ "positive": [ "w186", "w333", "w432", "w471", "w8" ], "negative": [], "neutral": [], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000073
[ "y1534", "y2821" ]
really old guy missing teeth.
[ 100, 129 ]
neutral
{ "negative": 0.12784337997436523, "positive": 0.029340891167521477, "neutral": 0.8428156971931458 }
r1-0000073
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5
{ "positive": [], "negative": [ "w165", "w212", "w250", "w639" ], "neutral": [], "mixed": [ "w341" ] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000074
[ "y11199", "y9286" ]
I wasn't even issue a new key card when the gym transitioned from Gold's to EOS.
[ 467, 547 ]
negative
{ "negative": 0.822490930557251, "positive": 0.06771635264158249, "neutral": 0.10979270190000534 }
r1-0000074
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1
{ "positive": [], "negative": [ "w108", "w395", "w8" ], "neutral": [ "w290", "w71" ], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000075
[ "y5908", "y6407", "y6423" ]
An update on Peoria Ford.
[ 0, 25 ]
neutral
{ "negative": 0.07865799218416214, "positive": 0.41396957635879517, "neutral": 0.5073723793029785 }
r1-0000075
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1
{ "positive": [], "negative": [], "neutral": [ "w143", "w32", "w380", "w80", "w832" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000076
[ "y995" ]
He did a decent job on my fixes.
[ 414, 446 ]
positive
{ "negative": 0.0271324273198843, "positive": 0.5014843940734863, "neutral": 0.4713832139968872 }
r1-0000076
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1
{ "positive": [ "w417", "w630", "w727" ], "negative": [], "neutral": [ "w369" ], "mixed": [ "w76" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000077
[ "y11045", "y420" ]
Can't wait til the next time.
[ 537, 566 ]
positive
{ "negative": 0.013300797902047634, "positive": 0.9646247029304504, "neutral": 0.022074466571211815 }
r1-0000077
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5
{ "positive": [ "w135", "w143", "w299", "w482" ], "negative": [], "neutral": [ "w23" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000078
[ "y11747", "y19348" ]
Our server, Jesse, took our orders.
[ 218, 253 ]
positive
{ "negative": 0.010599385015666485, "positive": 0.764857828617096, "neutral": 0.2245427817106247 }
r1-0000078
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1
{ "positive": [], "negative": [], "neutral": [ "w101", "w162", "w180", "w305", "w311" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000080
[ "y16498", "y5279" ]
I didn't just remember those things and put them in my own run on sentence, that is how she said it.
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neutral
{ "negative": 0.37396419048309326, "positive": 0.19372722506523132, "neutral": 0.4323086142539978 }
r1-0000080
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1
{ "positive": [], "negative": [ "w276" ], "neutral": [ "w140", "w27", "w299", "w396" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000081
[ "y18371", "y18554", "y7903" ]
Mine was an older shuffle iPod and hubby's was a newly purchased iPod touch, wasn't holding a charge and kept dying, as the battery kept draining ever so quickly (still under warranty, until next June).
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positive
{ "negative": 0.017564402893185616, "positive": 0.9408647418022156, "neutral": 0.04157085716724396 }
r1-0000081
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5
{ "positive": [], "negative": [ "w143", "w305", "w34" ], "neutral": [ "w68" ], "mixed": [ "w837" ] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000082
[ "y19323", "y3738", "y3739" ]
Only been here once.
[ 0, 20 ]
neutral
{ "negative": 0.23316945135593414, "positive": 0.04900443181395531, "neutral": 0.7178261280059814 }
r1-0000082
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5
{ "positive": [], "negative": [], "neutral": [ "w1254", "w37", "w380", "w55", "w79" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000084
[ "y3230", "y3231", "y507" ]
Our bill was over a grand after everything was said and done.
[ 1540, 1601 ]
negative
{ "negative": 0.7608275413513184, "positive": 0.0384473092854023, "neutral": 0.20072518289089203 }
r1-0000084
pfo5P8u7kG9v0Zt1HYnifQ
5
{ "positive": [ "w641" ], "negative": [], "neutral": [ "w17", "w19", "w360", "w698" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000085
[ "y5772", "y5920" ]
Also, I am not Korean and I am usually one of a few Caucasians in the restaurant when I am here.
[ 482, 578 ]
neutral
{ "negative": 0.46218833327293396, "positive": 0.0746566653251648, "neutral": 0.46315500140190125 }
r1-0000085
HHtYoctYsBqDUcVgMjscOg
5
{ "positive": [ "w1305", "w72" ], "negative": [], "neutral": [ "w135", "w163", "w382" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000086
[ "y16270", "y17874" ]
I was asked the obligatory question that every person that ever worked retail is to ask a customer.
[ 469, 568 ]
neutral
{ "negative": 0.04620305076241493, "positive": 0.15265889465808868, "neutral": 0.8011381030082703 }
r1-0000086
Qp4X7baY_7StqgPHRWbttw
5
{ "positive": [], "negative": [ "w135" ], "neutral": [ "w122", "w163", "w295", "w350" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000087
[ "y15957", "y8020" ]
They have unseated our defacto Thai restaurant and will now become of our our regular spots.
[ 295, 387 ]
negative
{ "negative": 0.9566402435302734, "positive": 0.03315422683954239, "neutral": 0.010205572471022606 }
r1-0000087
v-oI-M2tujtkGClMn5GStA
5
{ "positive": [ "w229", "w240" ], "negative": [], "neutral": [ "w149", "w157", "w23" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000088
[ "y1712", "y19198" ]
No liquor license and not sure if you can byob (cold Pacifico would have been nice).
[ 421, 505 ]
negative
{ "negative": 0.4608093798160553, "positive": 0.09178459644317627, "neutral": 0.4474060535430908 }
r1-0000088
Tw30QZWN9Tw1yenOCqxNAQ
5
{ "positive": [], "negative": [ "w157", "w22" ], "neutral": [ "w106", "w128", "w279" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000089
[ "y16624", "y1955" ]
I'm glad they could get rid of those bees.
[ 911, 953 ]
positive
{ "negative": 0.05263874679803848, "positive": 0.6592355370521545, "neutral": 0.2881257236003876 }
r1-0000089
pMTjEpeZafQZnZp2Z8XKnw
5
{ "positive": [ "w1256", "w52", "w632", "w869" ], "negative": [], "neutral": [ "w45" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000090
[ "y20418", "y7954" ]
With Nellis AFB in the area, you would think there would be more surplus stores, but there are not.
[ 1077, 1176 ]
neutral
{ "negative": 0.32454076409339905, "positive": 0.08172517269849777, "neutral": 0.593734085559845 }
r1-0000090
EI25c_8M1KhhGZEOnM62MA
5
{ "positive": [], "negative": [ "w213", "w247" ], "neutral": [ "w415", "w447", "w544" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000091
[ "y15557", "y9170" ]
If someone isn't ready when they say they are, don't wait for them because folks who are ready to go when they say they are expect you to be!
[ 543, 684 ]
positive
{ "negative": 0.060660071671009064, "positive": 0.8996450304985046, "neutral": 0.03969492018222809 }
r1-0000091
spnjcNHgDnT2f6siNnkAuQ
1
{ "positive": [ "w179", "w553", "w568" ], "negative": [ "w17" ], "neutral": [ "w390" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000093
[ "y11599", "y3104", "y7086" ]
Its a take-out kind of place.
[ 34, 63 ]
neutral
{ "negative": 0.2126961648464203, "positive": 0.03711751848459244, "neutral": 0.7501863241195679 }
r1-0000093
Q1tQEcs8VuBLMTYubbOQ9Q
5
{ "positive": [ "w258", "w489" ], "negative": [], "neutral": [ "w299", "w71", "w737" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000094
[ "y11765" ]
The third transaction went smooth.
[ 626, 660 ]
positive
{ "negative": 0.002713320776820183, "positive": 0.9466528296470642, "neutral": 0.05063378065824509 }
r1-0000094
jqGT4X-0bOgK4pcBfejA3Q
1
{ "positive": [ "w515", "w725", "w790", "w842" ], "negative": [], "neutral": [ "w1347" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000095
[ "y12208", "y236", "y4826" ]
Do note that it IS supposed to be more bitter than sweet.
[ 31, 88 ]
neutral
{ "negative": 0.3217654824256897, "positive": 0.13603706657886505, "neutral": 0.5421974658966064 }
r1-0000095
s3XO_CwWleezivnDDyX8ow
5
{ "positive": [ "w23" ], "negative": [], "neutral": [ "w620", "w68", "w71" ], "mixed": [ "w223" ] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000096
[ "y450" ]
The white and red sangrias were lovely.
[ 928, 967 ]
positive
{ "negative": 0.006733091082423925, "positive": 0.7922220826148987, "neutral": 0.20104487240314484 }
r1-0000096
viJEF0iTv6NshyEptiuHRg
1
{ "positive": [ "w116", "w184", "w375", "w464", "w87" ], "negative": [], "neutral": [], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000097
[ "y7193" ]
My car way sooo bad.
[ 54, 74 ]
negative
{ "negative": 0.9249998331069946, "positive": 0.024158049374818802, "neutral": 0.05084206908941269 }
r1-0000097
hlitKEmQ29DI1DDjbDCY1g
5
{ "positive": [], "negative": [ "w1021", "w135", "w152", "w201", "w491" ], "neutral": [], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000098
[ "y10015", "y18269" ]
The bathroom was clean.
[ 437, 460 ]
neutral
{ "negative": 0.03929327800869942, "positive": 0.354475200176239, "neutral": 0.6062314510345459 }
r1-0000098
lhA6eGPE2H3N-Xa5FdUtyQ
5
{ "positive": [ "w184", "w370", "w778", "w945" ], "negative": [], "neutral": [ "w646" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000099
[ "y12409", "y12450" ]
Don't waste your time- give them a call!
[ 395, 435 ]
negative
{ "negative": 0.9967790246009827, "positive": 0.000891755276825279, "neutral": 0.0023292251862585545 }
r1-0000099
8-HYEnxljk3mUHuoHUtU6Q
5
{ "positive": [ "w288", "w52", "w613" ], "negative": [ "w1630" ], "neutral": [ "w447" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000100
[ "y13713", "y16904", "y2426" ]
The waitress even setup her own mobile hotspot for me to use as the restaurant's wi-fi was not working.
[ 731, 834 ]
positive
{ "negative": 0.03375811502337456, "positive": 0.6903913617134094, "neutral": 0.2758505046367645 }
r1-0000100
boie3B2gnvVXSxoWQfrM9Q
5
{ "positive": [ "w111", "w1367", "w17", "w178", "w55" ], "negative": [], "neutral": [], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000101
[ "y2367" ]
I figured I had to go to this specific department because the sweaters were found here.
[ 567, 654 ]
neutral
{ "negative": 0.08521131426095963, "positive": 0.3711188733577728, "neutral": 0.5436697602272034 }
r1-0000101
DdrD1aThrjHGtTl20JsMEw
1
{ "positive": [ "w1066", "w14" ], "negative": [], "neutral": [ "w448", "w577", "w81" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000102
[ "y18158", "y2140", "y7196" ]
The crostini looked like a cheesy bread but ended up tasting more like a cheesy bread on steroids.
[ 1810, 1908 ]
negative
{ "negative": 0.9607546329498291, "positive": 0.0007049888372421265, "neutral": 0.03854048252105713 }
r1-0000102
macUlFgt9KW81mIdMrO1Vg
5
{ "positive": [ "w1786", "w216", "w333" ], "negative": [ "w386" ], "neutral": [], "mixed": [ "w135" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000103
[ "y3621" ]
I went to the pool to party and had the best 4 hour nap.
[ 23, 79 ]
positive
{ "negative": 0.028758781030774117, "positive": 0.938450276851654, "neutral": 0.032790981233119965 }
r1-0000103
_4EYIujSzAQsz5HCQTTSUg
5
{ "positive": [ "w201", "w30", "w363", "w474" ], "negative": [], "neutral": [], "mixed": [ "w805" ] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000104
[ "y2398" ]
I don't know what is going on at Stephanie street in Henderson, but it is turning into restaurant and junk food rowe of the southeast!
[ 1528, 1662 ]
negative
{ "negative": 0.5198332071304321, "positive": 0.2143346071243286, "neutral": 0.26583218574523926 }
r1-0000104
sHRFZIkl8TNE1Zva8u_36Q
5
{ "positive": [], "negative": [], "neutral": [ "w328", "w36", "w4" ], "mixed": [ "w666", "w972" ] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000105
[ "y1285" ]
Books trickle out of crevices of walls and shelf's alike.
[ 267, 324 ]
neutral
{ "negative": 0.11211304366588593, "positive": 0.17811284959316254, "neutral": 0.7097740769386292 }
r1-0000105
HHpRh50h8OkPo6XroWDH4Q
5
{ "positive": [], "negative": [], "neutral": [ "w130", "w139", "w241", "w461", "w84" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000106
[ "y9203" ]
When you place your order, they will give you a number to place on your table for the food to be delivered.
[ 164, 271 ]
positive
{ "negative": 0.23111717402935028, "positive": 0.4442256987094879, "neutral": 0.324657142162323 }
r1-0000106
bGXehDzmhMNEsi1UeFJGjQ
5
{ "positive": [ "w109" ], "negative": [], "neutral": [ "w129", "w1490", "w155", "w252" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000107
[ "y4074" ]
I was curious about the Seafood Risotto for a kosher place, are they going to use Pollock?
[ 1324, 1414 ]
neutral
{ "negative": 0.11829402297735214, "positive": 0.3616541624069214, "neutral": 0.5200517773628235 }
r1-0000107
FwtqHxxqrvIRTK4l_g_m1g
1
{ "positive": [], "negative": [ "w938" ], "neutral": [ "w132", "w148", "w26", "w59" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000108
[ "y13573" ]
I ordered to go so I could make it to my appointment on time.
[ 189, 250 ]
positive
{ "negative": 0.07309255003929138, "positive": 0.5847066640853882, "neutral": 0.34220078587532043 }
r1-0000108
M0G5HEtRGjP3GwqJzH4xXw
1
{ "positive": [ "w27" ], "negative": [], "neutral": [ "w16", "w263", "w305", "w8" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000109
[ "y11974", "y1660" ]
Definitely too much for one person.
[ 281, 316 ]
neutral
{ "negative": 0.4212559163570404, "positive": 0.08036341518163681, "neutral": 0.4983806312084198 }
r1-0000109
Z664_SVwOxTusiLqkKKDuw
5
{ "positive": [], "negative": [ "w258", "w57", "w879" ], "neutral": [ "w195", "w490" ], "mixed": [] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000110
[ "y13636", "y6360" ]
Since I started seeing Dr. Mayer, the wait time post check in has always been less than 5 minutes for the pre-screening workout and then anither 5-10 minutes (at most) to see the doctor after being placed in an exam room.
[ 252, 473 ]
positive
{ "negative": 0.21935796737670898, "positive": 0.5343391299247742, "neutral": 0.24630293250083923 }
r1-0000110
kMlRVNP2kyksPr4uQ2LlUg
5
{ "positive": [ "w18", "w211", "w53", "w54" ], "negative": [], "neutral": [ "w26" ], "mixed": [] }
positive
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000111
[ "y13490" ]
First saw a Hakkasan in San Francisco but they were booked for the evening so we never got in.
[ 0, 94 ]
neutral
{ "negative": 0.1411745548248291, "positive": 0.363070011138916, "neutral": 0.4957554042339325 }
r1-0000111
IUeVcPo-qp0jfth0cG50Eg
5
{ "positive": [ "w521" ], "negative": [ "w115", "w143", "w22" ], "neutral": [], "mixed": [ "w525" ] }
negative
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
r1-0000112
[ "y4237", "y8266" ]
My dogs never barked, so even if I missed the knocking, they wouldn't have.
[ 500, 575 ]
positive
{ "negative": 0.014877786859869957, "positive": 0.8939515352249146, "neutral": 0.09117067605257034 }
r1-0000112
qZmm5Kxp4e3qyPBjPLoD1A
1
{ "positive": [], "negative": [ "w43" ], "neutral": [ "w288", "w326", "w48", "w594" ], "mixed": [] }
neutral
{ "split": "train", "round": 1, "subset": "all", "model_in_the_loop": "RoBERTa" }
End of preview.