inputs stringlengths 332 1.18k | targets stringclasses 12
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In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
よくある部分での断線はしませんでした ただiphoneとの接続部で接触不良、折れました iphoneの中に残されてしまい摘出に苦労しました
Answer: | bad | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: Me parece muy aparatosa para hacer ejercicio, hace mucho bulto en el tobillo, por lo demás bien
Output: | good | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: 2回目の使用で壊れました。 安かろう悪かろうですね。 下山まで完全破壊までは行かず無事に帰れて良かっ たですが、怪我につながるものはしっかりとしたものを選んで買うべきと反省しました。
Solution: | bad | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: 芯の交換までのスパンが長いので楽です。いつもこの2倍を購入していましたが、近所の店舗ではあまり見かけ ないので、はじめてパントリー購入しました。商品も重たいので、また次回もパントリー購入します。
Output: | good | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
不好用，第一次就坏了，散架了。完全散架了。
Answer: | bad | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: Ein Stern, weil gar keine geht nicht. Es handelt sich um gebraucht Waren, die Stein haben so ein Belag drauf, wo man sich dabei denken kann, dass jemand schon die benutzt und nicht Mal richtig gewaschen. Bei ein paar ist die Qualität Mangelhaft, siehe Bild. Ein habe ich ausprobiert, richtig gewaschen, dann verfärbt sich..... Wärme halt nicht lange. Deswegen wird es zurückgeschickt.
[A]: bad
[Q]: Tuve que devolverla porque al ser triangular no se agarra de forma cómoda para la escritura. Bonita, calidad-precio aceptable, pero poco funcional.
[A]: bad
[Q]: Tuve que devolverla porque al ser triangular no se agarra de forma cómoda para la escritura. Bonita, calidad-precio aceptable, pero poco funcional.
[A]: | bad
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: Ich finde das Hase sieht in echt ganz anders aus als ich in bestellt habe.
Output: | bad | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Teacher: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The bags came already torn
Solution: bad
Reason: This is a good example because this is a negative review, so the output bad is correct
Now, solve this instance: 音箱播放时断断续续的！质量完全不行，第一次在亚马逊买东西，晕！怎么是这样的呀？有客服和我联系吗？
Student: | bad | 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: C'est nul vau lieu un ventillateur pour le même prix ,je trouve cette appareils inutile ,reçus hier renvoyer hier ,regrette la pub de cette appareil
Output: | bad | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: Son como los de siempre de plástico pero ecológicos. Y ha buen precio.
[EX A]: good
[EX Q]: 比较喜欢，但是快递的服务真是让人感冒，到了也不通知一下，哪怕短信也可。
[EX A]: good
[EX Q]: コスパ良いです。 クッションの弱い安いクロックスですが値段的に文句はありません！
[EX A]: | good
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: It's been in the car for a few days. It's of good quality. My dog didn't get the chair dirty and my claws didn't pierce the mat.
Answer: good
Question: Te obligan a comprar dos unidades y te llega solo una y no hay forma de reclamar, una autentica estafa, no compreis!!
Answer: bad
Question: Die bisherigen Bewertungen kann ich nicht verstehen. Läuft ohne Probleme
Answer: | good
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example is below.
Q: The bags came already torn
A: bad
Rationale: This is a good example because this is a negative review, so the output bad is correct
Q: Die Lampe ist nach einem Jahr bei nur gelegentlichem Gebrauch defekt- sie schaltet sich grundsätzlich - voll aufgeladen- nach wenigen Sekunden ab.
A: | bad | 9 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example: The bags came already torn
Solution is here: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Now, solve this: Qualité très mauvaise. Après quelques semaines d'utilisation il était déjà cassé (sans l'avoir fait tomber) et il ne protège absolument pas le téléphone.
Solution: | bad | 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input: Consider Input: Produit conforme à mes attentes
Output: good
Input: Consider Input: They are nice. Wish you could dime the lights. And i dont really understand all of the flashing settings lol. Over all i like it tho.
Output: good
Input: Consider Input: This watch band is the best I have yet! Was very easy to adjust although it did look intimidating. Great quality and look great!
| Output: good
| 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Cet engin ne sert à rien les sons sont pourris lessongs sont simplistes vous n'apprendrez jamais à jouer de la batterie avec une bouze pareille. En fait c'est juste un jouet destiné aux enfants et rien d'autre. Si vous voulez vraiment quelque chose de bien et d'utile passez votre chemin et gardez votre fric moi j'ai voulu essayer et j'ai été très mais alors très déçu. Résultat direction poubelle.
| Solution: bad | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
TASK DEFINITION: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
PROBLEM: El paraguas es de muy mala calidad,da la sensación que se va a romper cuando lo abres. Es muy cutre.
SOLUTION: bad
PROBLEM: 很多情况都有分类讨论。先介绍基本情况，理清概念。然后具体情况怎么解决都有涉及到。实用性很强。
SOLUTION: good
PROBLEM: Traitement compliqué à exigé un pilulier. Qualité solide et qui ferme bien. Petits compartiments plutôt grands.
SOLUTION: | good
| 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
TASK DEFINITION: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
PROBLEM: They do what they’re suppose to and are a good price.
SOLUTION: good
PROBLEM: C'est nul vau lieu un ventillateur pour le même prix ,je trouve cette appareils inutile ,reçus hier renvoyer hier ,regrette la pub de cette appareil
SOLUTION: bad
PROBLEM: In welcher Größe muss ich die Aderendhülsen bestellen?Ich brauche die Größe da der Artikel sonst unbrauchbar ist!
SOLUTION: | good
| 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: Bon rapport qualité /prix sent très bien le jasmin je recommande
Answer: good
Question: 鞋子有质量问题，售后态度真不是一般差，客服说话很不客气。反映质量问题后也不主动让我拍照发到邮箱，反倒 我主动要求发照片。寄到国外要垫付200多运费，不退货退20%货款，如果不是老公觉得退货要二十几天这么 麻烦，我不可能花三百多买这么个残次品。
Answer: bad
Question: よくある部分での断線はしませんでした ただiphoneとの接続部で接触不良、折れました iphoneの中に残されてしまい摘出に苦労しました
Answer: | bad
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: 正品，送货很快，头天下的单，第二天就送到了
Solution: | good | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Q: Ein Stern, weil gar keine geht nicht. Es handelt sich um gebraucht Waren, die Stein haben so ein Belag drauf, wo man sich dabei denken kann, dass jemand schon die benutzt und nicht Mal richtig gewaschen. Bei ein paar ist die Qualität Mangelhaft, siehe Bild. Ein habe ich ausprobiert, richtig gewaschen, dann verfärbt sich..... Wärme halt nicht lange. Deswegen wird es zurückgeschickt.
A: bad
****
Q: 十分な在庫を用意できない販売元も悪いですが、Amazonやら楽⚪︎が転売を認めちゃってるのが結果的に 転売の後押しになっちゃってるんだよなぁ… Amazonもここぞとばかりに抱き合わせ販売しまくるし… それを恥ずかしいと思えなくなったら動物と同じですよ、最大手さん。
A: bad
****
Q: La rapidez en la entrega, y el diseño es lo mejor. A mi mujer le encanta, se lo regalé para navidad y está muy satisfecha.
A: | good
****
| 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Qualité du son à l'écoute : moyen. Qualité du micro voix : très mauvais. Tenue des batteries : bonne. Durée des batteries : produit inutilisable après 10 mois.
Solution: | bad | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Part 2. Example
The bags came already torn
Answer: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Part 3. Exercise
比较喜欢，但是快递的服务真是让人感冒，到了也不通知一下，哪怕短信也可。
Answer: | good | 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Fit the stove well as described.
| Solution: good | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example input: The bags came already torn
Example output: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Q: 书里说有赠送CD，可是我们收到的没有，还找不到客服人员
A: | bad | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Ex Input:
Horrible, nos tuvimos que comprar otro porque ni nosotros que sabemos inglés, ni un informático, después de una hora fue capaz de instalarlo
Ex Output:
bad
Ex Input:
2回目の使用で壊れました。 安かろう悪かろうですね。 下山まで完全破壊までは行かず無事に帰れて良かっ たですが、怪我につながるものはしっかりとしたものを選んで買うべきと反省しました。
Ex Output:
bad
Ex Input:
Llega tarde y co la talla equivocada
Ex Output:
| bad
| 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example input: The bags came already torn
Example output: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Q: La rapidez en la entrega, y el diseño es lo mejor. A mi mujer le encanta, se lo regalé para navidad y está muy satisfecha.
A: | good | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input: Consider Input: Poor quality. The material was fuzzy from day one. It got discolored in less than a month, even though we kept it outdoors under a covered porch. I returned this item.
Output: bad
Input: Consider Input: Son como los de siempre de plástico pero ecológicos. Y ha buen precio.
Output: good
Input: Consider Input: 一人で貼り付けたらホコリが混入して 保護フィルムとして使えなかった。 せめて予備が1枚あれば、良かったんですが。。 スマホやタブレットの保護フィルムと違い、 27インチの画面に貼るのは本当に大変です。 値段も安くないので 購入を検討する方は、よく考えた方がいいです。
| Output: bad
| 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: 半年で壊れたんで星1です てゆうか1もつけたくないです 確かに安いもの買ったのはこちらです 当たり外れもあると聞きます ただ半年で使いもんにならなくなるようなもの売るのは動作確認なりちゃんとや ってねんだろーなーみたいに感じます スイッチオンにしてもすぐタイトル画面に行く前に止まります(これは 買って1ヶ月くらいしたらもう起こりました) 行ったとしても、ゲーム中に突然電源が落ちます(こちらは最近です) 最終的にはついたとしてもストレージが破損しいてますという表記で終わりました そこから先には一向に進みませんでした 再起動もされませんでした 外れ掴まされただけかもしれませんが、 詐欺かなんかなのかなというのも考えました 保証もとっても短かったので、保証にも出せません 中古で買った自分の責任なのでしょうが、購入を予定されてる方はお気をつけ下さい 当たりもあるでしょうが、外れの場合は無駄なお金払う感じになります ちょっとだけ使えるゴミ売っていただいた感がとてもすごいです
[A]: bad
[Q]: Ordered 2 they shipped 1 promised by certain day, then the next day, then the next day.
[A]: bad
[Q]: Fit the stove well as described.
[A]: | good
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example Input: Cats love playing with them. Put additional catnip on them to keep them interested. Fun to find them about the house.
Example Output: good
Example Input: Die bisherigen Bewertungen kann ich nicht verstehen. Läuft ohne Probleme
Example Output: good
Example Input: Seit ich den Ingrubar Haarverdichter verwende, habe ich tatsächlich das Gefühl, dass meine Haare dicker ist und ich weniger Haare verliere. Meine Haare fühlen sich fester an. Das Produkte ist auch sehr ergiebig und nichts fettet. Ich bin sehr zufrieden. Auf jeden Fall ein Nachkaufprodukt.
Example Output: | good
| 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
instruction:
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
question:
这简直就是太差了！出版社怎么就能出版吗？我以为是百度摘录呢！这到底是哪个鱼目混珠的教授啊？！能给点干 货吗？！总算应验了一句话，一本书哪怕只有一句花你感到有意义也算是本好书。哇为了找这本书哪怕一句不是废 话的句子都费了我整整一天时间。。
answer:
bad
question:
Il manque le récapitulatif dans le guide Merci de me les envoyé ( j’ai deux guides) C’est urgent car l’examen est à la fin du mois de novembre Merci d’
answer:
bad
question:
Könnte etwas Spannender sein
answer:
| good
| 9 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example Input: Llega tarde y co la talla equivocada
Example Output: bad
Example Input: 十分な在庫を用意できない販売元も悪いですが、Amazonやら楽⚪︎が転売を認めちゃってるのが結果的に 転売の後押しになっちゃってるんだよなぁ… Amazonもここぞとばかりに抱き合わせ販売しまくるし… それを恥ずかしいと思えなくなったら動物と同じですよ、最大手さん。
Example Output: bad
Example Input: Si l'ampoule est un peu protégée par un abat-jour ça va car l'éclairage est assez violent. C'est un blanc froid. Une des ampoules fait du bruit genre néon.
Example Output: | good
| 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Teacher: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The bags came already torn
Solution: bad
Reason: This is a good example because this is a negative review, so the output bad is correct
Now, solve this instance: 鞋子有质量问题，售后态度真不是一般差，客服说话很不客气。反映质量问题后也不主动让我拍照发到邮箱，反倒 我主动要求发照片。寄到国外要垫付200多运费，不退货退20%货款，如果不是老公觉得退货要二十几天这么 麻烦，我不可能花三百多买这么个残次品。
Student: | bad | 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input: Consider Input: Kigurumi agréable à porter mais est arrivé avec des trous sur certaines coutures, un accord a pu être trouvé, le vendeur est à l'écoute et réactif.
Output: good
Input: Consider Input: Seit ich den Ingrubar Haarverdichter verwende, habe ich tatsächlich das Gefühl, dass meine Haare dicker ist und ich weniger Haare verliere. Meine Haare fühlen sich fester an. Das Produkte ist auch sehr ergiebig und nichts fettet. Ich bin sehr zufrieden. Auf jeden Fall ein Nachkaufprodukt.
Output: good
Input: Consider Input: War ganz okay. Habe mir mehr vom Buch erhofft.
| Output: good
| 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Teacher: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The bags came already torn
Solution: bad
Reason: This is a good example because this is a negative review, so the output bad is correct
Now, solve this instance: Al principio perfectas, pero casi... A las semanas no hacen mucho efecto, medio recomendables!
Student: | good | 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Ein Stern, weil gar keine geht nicht. Es handelt sich um gebraucht Waren, die Stein haben so ein Belag drauf, wo man sich dabei denken kann, dass jemand schon die benutzt und nicht Mal richtig gewaschen. Bei ein paar ist die Qualität Mangelhaft, siehe Bild. Ein habe ich ausprobiert, richtig gewaschen, dann verfärbt sich..... Wärme halt nicht lange. Deswegen wird es zurückgeschickt.
| Solution: bad | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Ex Input:
今まで有線のイヤホンを使用していましたが、今回初めて分離型のイヤホンを購入しました。 こういった種類 のイヤホンははずれやすかったり、左右でズレがある等の不具合があるというイメージが強かったので購入する のに勇気が要りました。 しかし、そういった不具合等は全くなく以前よりもより快適に音楽を楽しむことができております。 買って損はしないとおもいます。 良い買い物ができて嬉しいです。
Ex Output:
good
Ex Input:
鞋子有质量问题，售后态度真不是一般差，客服说话很不客气。反映质量问题后也不主动让我拍照发到邮箱，反倒 我主动要求发照片。寄到国外要垫付200多运费，不退货退20%货款，如果不是老公觉得退货要二十几天这么 麻烦，我不可能花三百多买这么个残次品。
Ex Output:
bad
Ex Input:
Schön lang für etwas größere Kinder. Leider hält er nicht so warm wie erwartet und die Klettverschlüsse haben sich sehr schnell abgelöst
Ex Output:
| good
| 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Très beau produit mais la grue n'a pas fonctionné très longtemps. 1er problème : la ficelle qui sert de câble, qui a bloqué le mécanisme! Heureusement que mon mari est un bon bricoleur. 2ème problème : ben, en fait, on ne sait pas d'où vient le problème : la télécommande ou la grue. Bref, cela ne fonctionne plus. Pour résumé, à fonctionner pendant 1 an et plus rien et pourtant, mon fils prend soin de ses jouets. Donc trop cher par rapport à la qualité du produit.
Solution: | bad | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Der Artikel ist wie beschrieben allerdings geht der Deckel schwer zu und auf. Die Lieferung erfolgt mit einem Tag Verspätung durch Hermes, dass hat aber nichts mit dem Anbieter zu tun.
| Solution: good | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example Input: In der Lieferung war nur Ein Akku!
Example Output: bad
Example Input: Al principio perfectas, pero casi... A las semanas no hacen mucho efecto, medio recomendables!
Example Output: good
Example Input: 购买页面显示1～2日发货，付款之后显示半个月后送达，实际收到商品距离下单日期已经一个多月。 无力吐槽，一星是给商品的。
Example Output: | bad
| 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
Produit conforme à mes attentes
Answer: | good | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: Me parece muy aparatosa para hacer ejercicio, hace mucho bulto en el tobillo, por lo demás bien
Answer: good
Question: チャックの開閉時に水よけのヒラヒラが邪魔になる。 チャックに食い込んだりする。
Answer: good
Question: article reçu plus vite que prévu. compatibilité parfaite pour ordi Asus . attends de voir dans le temps si il dure plus longtemps que celui d'origine
Answer: | good
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input: Consider Input: fit as expected. perfect for winter season and I love how it feels to your skin soft and comfortable the size is about right for my baby bump
Output: good
Input: Consider Input: Cats love playing with them. Put additional catnip on them to keep them interested. Fun to find them about the house.
Output: good
Input: Consider Input: Te obligan a comprar dos unidades y te llega solo una y no hay forma de reclamar, una autentica estafa, no compreis!!
| Output: bad
| 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
instruction:
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
question:
Impossible de mettre les poignées. Bbq est instable. Déçu,
answer:
bad
question:
正品，送货很快，头天下的单，第二天就送到了
answer:
good
question:
爱贝尔金属边框是我见过的最好的，高大上的产品，用料足做工精美，边框在手机后背突出有效防止划伤背壳，本 该满分。只给一分完全因为亚马逊自己的物流。货到山东章丘你延迟配送我可以忍，你不送到村里我不忍，为什么 苏宁京东送货上门亚马逊不行？下单时你也没提示超范围，垃圾的亚马逊山东章丘配送站，亚马逊脸让你丢光了！ 这是第一次亚马逊购物也是最后一次亚马逊购物全因为山东章丘配送站。闹心！
answer:
| bad
| 9 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Part 2. Example
The bags came already torn
Answer: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Part 3. Exercise
Poor quality. The material was fuzzy from day one. It got discolored in less than a month, even though we kept it outdoors under a covered porch. I returned this item.
Answer: | bad | 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: There is a terribly done band across the top. Supposed to keep the shirt on your shoulders but seems more of like a waistband.
Output: | bad | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: It's been in the car for a few days. It's of good quality. My dog didn't get the chair dirty and my claws didn't pierce the mat.
[A]: good
[Q]: 此书从实务角度出发，回答了在律师实务过程中常见的问题。
[A]: good
[Q]: There is a terribly done band across the top. Supposed to keep the shirt on your shoulders but seems more of like a waistband.
[A]: | bad
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example: The bags came already torn
Solution is here: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Now, solve this: Followed directions, did not work as advertised.
Solution: | bad | 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: Llega tarde y co la talla equivocada
[EX A]: bad
[EX Q]: 音箱播放时断断续续的！质量完全不行，第一次在亚马逊买东西，晕！怎么是这样的呀？有客服和我联系吗？
[EX A]: bad
[EX Q]: They do what they’re suppose to and are a good price.
[EX A]: | good
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Correcto. sirve perfectamente para o que corresponde. La impresora está encantada de tener dentro della el tintero y se siente muy feliz.
Solution: | good | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: 不能转向，倒车灯不亮，转向指示灯不亮，换一次货感觉质量更差。有问题的商品亚马逊为什么还在卖，自己要砸 招牌么！非常不满意的一次购物。
Solution: | bad | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
instruction:
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
question:
音箱播放时断断续续的！质量完全不行，第一次在亚马逊买东西，晕！怎么是这样的呀？有客服和我联系吗？
answer:
bad
question:
It's been in the car for a few days. It's of good quality. My dog didn't get the chair dirty and my claws didn't pierce the mat.
answer:
good
question:
字太小啦，建议买别的版本，慎买呀，亲们，我后悔买了这个版本！！！
answer:
| bad
| 9 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: Cats love playing with them. Put additional catnip on them to keep them interested. Fun to find them about the house.
Answer: good
Question: There ok let's just say that.
Answer: good
Question: チャックの開閉時に水よけのヒラヒラが邪魔になる。 チャックに食い込んだりする。
Answer: | good
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Q: Me parece muy aparatosa para hacer ejercicio, hace mucho bulto en el tobillo, por lo demás bien
A: good
****
Q: 这个牌子买过几次了，早上给孩子准备早餐，搭配蜂蜜和一些果仁，孩子还比较喜欢吃。
A: good
****
Q: Gefällt sehr, ist stabil und groß genug. Gefällt mir sehr gut, vielen Dank
A: | good
****
| 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: 全く、フリード 専用ではありません。 曲率は合ってなく、突起部分はドアノブに干渉。 買って後悔しました。真剣に設計を見直してください。このままでは詐欺ですよ！
Solution: | bad | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Part 2. Example
The bags came already torn
Answer: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Part 3. Exercise
Jamás me llegó y el vendedor nunca contacto conmigo a pesar de intentarlo 2 veces
Answer: | bad | 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
这简直就是太差了！出版社怎么就能出版吗？我以为是百度摘录呢！这到底是哪个鱼目混珠的教授啊？！能给点干 货吗？！总算应验了一句话，一本书哪怕只有一句花你感到有意义也算是本好书。哇为了找这本书哪怕一句不是废 话的句子都费了我整整一天时间。。
Answer: | bad | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: 値段的にしかたないと思います。使い勝手は良好です。
Answer: good
Question: 之前给了一个三星，理由是翻译生涩。现在收回之前的评价，并改成四星，因为后面流畅多了，看来译者也是慢热 型
Answer: good
Question: 这简直就是太差了！出版社怎么就能出版吗？我以为是百度摘录呢！这到底是哪个鱼目混珠的教授啊？！能给点干 货吗？！总算应验了一句话，一本书哪怕只有一句花你感到有意义也算是本好书。哇为了找这本书哪怕一句不是废 话的句子都费了我整整一天时间。。
Answer: | bad
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
TASK DEFINITION: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
PROBLEM: Gefällt sehr, ist stabil und groß genug. Gefällt mir sehr gut, vielen Dank
SOLUTION: good
PROBLEM: Gracias a AAA Toys recibí el regalo de reyes de mi sobrino, el cual llevábamos casi 2 meses esperando, en menos de una semana.
SOLUTION: good
PROBLEM: 交換したばかりですが、十分使えそうです。 イヤーパッドは消耗品だと思うので、この金額で購入できるのは有難いです。 交換も簡単にでき、しっかりは まってます。音も問題ありません。耐久性はまだ分かりませんが、少なくとも現在は満足しています。
SOLUTION: | good
| 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Q: Si l'ampoule est un peu protégée par un abat-jour ça va car l'éclairage est assez violent. C'est un blanc froid. Une des ampoules fait du bruit genre néon.
A: good
****
Q: 見た目はかなりおしゃれで気に入りました。2、3回持ち歩いた後いつも通りゼンマイを巻いていたら突然空回 り。 針の調整はできるけど、つまみをあげても下げてもゼンマイを巻くことができず。 時計屋に持って行っ て中を開けてもらったら、中のケースと外側の規格がそもそも合っていないため、固定されず、一度ズレると噛 み合わなくなるんだそう。 返品して交換した方がいいと言われましたが、保証書付いてないし、 クーリングオフ期間もとっくに過ぎています。 アンティーク感覚で家で放置するならおススメですが、 本来の用途としては全く使えません。 ご注意を。
A: bad
****
Q: Trrs bonne trousse piur stocker les 120 crayons de couleurs qie j ai. Manque une place gomme et taille crayon pour être parfaite
A: | good
****
| 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example Input: 音箱播放时断断续续的！质量完全不行，第一次在亚马逊买东西，晕！怎么是这样的呀？有客服和我联系吗？
Example Output: bad
Example Input: 半年で壊れたんで星1です てゆうか1もつけたくないです 確かに安いもの買ったのはこちらです 当たり外れもあると聞きます ただ半年で使いもんにならなくなるようなもの売るのは動作確認なりちゃんとや ってねんだろーなーみたいに感じます スイッチオンにしてもすぐタイトル画面に行く前に止まります(これは 買って1ヶ月くらいしたらもう起こりました) 行ったとしても、ゲーム中に突然電源が落ちます(こちらは最近です) 最終的にはついたとしてもストレージが破損しいてますという表記で終わりました そこから先には一向に進みませんでした 再起動もされませんでした 外れ掴まされただけかもしれませんが、 詐欺かなんかなのかなというのも考えました 保証もとっても短かったので、保証にも出せません 中古で買った自分の責任なのでしょうが、購入を予定されてる方はお気をつけ下さい 当たりもあるでしょうが、外れの場合は無駄なお金払う感じになります ちょっとだけ使えるゴミ売っていただいた感がとてもすごいです
Example Output: bad
Example Input: 不好用，第一次就坏了，散架了。完全散架了。
Example Output: | bad
| 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Sehr angenehmer Duft. Preis- Leistung ist super. Gerne wieder.
Solution: | good | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: Ein Stern, weil gar keine geht nicht. Es handelt sich um gebraucht Waren, die Stein haben so ein Belag drauf, wo man sich dabei denken kann, dass jemand schon die benutzt und nicht Mal richtig gewaschen. Bei ein paar ist die Qualität Mangelhaft, siehe Bild. Ein habe ich ausprobiert, richtig gewaschen, dann verfärbt sich..... Wärme halt nicht lange. Deswegen wird es zurückgeschickt.
[A]: bad
[Q]: 全く、フリード 専用ではありません。 曲率は合ってなく、突起部分はドアノブに干渉。 買って後悔しました。真剣に設計を見直してください。このままでは詐欺ですよ！
[A]: bad
[Q]: 十分な在庫を用意できない販売元も悪いですが、Amazonやら楽⚪︎が転売を認めちゃってるのが結果的に 転売の後押しになっちゃってるんだよなぁ… Amazonもここぞとばかりに抱き合わせ販売しまくるし… それを恥ずかしいと思えなくなったら動物と同じですよ、最大手さん。
[A]: | bad
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Ex Input:
３箇所の鍵のうち鍵が閉まりません。不幸中の幸いは、旅行前に気がつき、他のスーツケースが手配できないこ とをアマゾンに報告し、使用後の返金約束を取れたことです。一箇所閉まららない状態で使用していると、空港 の手荷物運搬作業中に、鍵が閉まらず浮きあがっていた為破損しました。粗悪なスーツケースを海外旅行中無料 レンタルできたと思えば、納得ですが、購入を検討される方は慎重になられた方が良いかと思います。返金対応 に問題はなさそうですが（現在手配中）、それを含めてもおすすめ出来ません。
Ex Output:
bad
Ex Input:
Ich finde das Hase sieht in echt ganz anders aus als ich in bestellt habe.
Ex Output:
bad
Ex Input:
Il manque le récapitulatif dans le guide Merci de me les envoyé ( j’ai deux guides) C’est urgent car l’examen est à la fin du mois de novembre Merci d’
Ex Output:
| bad
| 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: This product is a piece of shit. Do not buy. Doesn't work, and then I try to call for customer support, it won't take my number. Fucking rip off!
[EX A]: bad
[EX Q]: 見た目はかなりおしゃれで気に入りました。2、3回持ち歩いた後いつも通りゼンマイを巻いていたら突然空回 り。 針の調整はできるけど、つまみをあげても下げてもゼンマイを巻くことができず。 時計屋に持って行っ て中を開けてもらったら、中のケースと外側の規格がそもそも合っていないため、固定されず、一度ズレると噛 み合わなくなるんだそう。 返品して交換した方がいいと言われましたが、保証書付いてないし、 クーリングオフ期間もとっくに過ぎています。 アンティーク感覚で家で放置するならおススメですが、 本来の用途としては全く使えません。 ご注意を。
[EX A]: bad
[EX Q]: Si vous voulez être déçu achetez le produit ! Au bout de 3 utilisation ne fonctionne plus.. Je ne recommande pas du tout sauf si vous voulez acheter un thermomètre quelques jours après avoir acheté celui ci !
[EX A]: | bad
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
instruction:
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
question:
Correcto. sirve perfectamente para o que corresponde. La impresora está encantada de tener dentro della el tintero y se siente muy feliz.
answer:
good
question:
チャックの開閉時に水よけのヒラヒラが邪魔になる。 チャックに食い込んだりする。
answer:
good
question:
There ok let's just say that.
answer:
| good
| 9 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: Cats love playing with them. Put additional catnip on them to keep them interested. Fun to find them about the house.
Output: | good | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Input: Consider Input: This product is a piece of shit. Do not buy. Doesn't work, and then I try to call for customer support, it won't take my number. Fucking rip off!
Output: bad
Input: Consider Input: Al principio perfectas, pero casi... A las semanas no hacen mucho efecto, medio recomendables!
Output: good
Input: Consider Input: Cats love playing with them. Put additional catnip on them to keep them interested. Fun to find them about the house.
| Output: good
| 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
很多情况都有分类讨论。先介绍基本情况，理清概念。然后具体情况怎么解决都有涉及到。实用性很强。
Answer: | good | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: 裤子一般，穿着比较舒适，不过不透气，容易沾毛粘灰，就那样吧。
[EX A]: good
[EX Q]: Der Artikel ist wie beschrieben allerdings geht der Deckel schwer zu und auf. Die Lieferung erfolgt mit einem Tag Verspätung durch Hermes, dass hat aber nichts mit dem Anbieter zu tun.
[EX A]: good
[EX Q]: 音箱播放时断断续续的！质量完全不行，第一次在亚马逊买东西，晕！怎么是这样的呀？有客服和我联系吗？
[EX A]: | bad
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Let me give you an example: The bags came already torn
The answer to this example can be: bad
Here is why: This is a good example because this is a negative review, so the output bad is correct
OK. solve this:
I received my first order of this product and it was broke so I ordered it again. The second one was broke in more places than the first. I can't blame the shipping process as it's shrink wrapped and boxed.
Answer: | bad | 8 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
--------
Question: Très beau produit mais la grue n'a pas fonctionné très longtemps. 1er problème : la ficelle qui sert de câble, qui a bloqué le mécanisme! Heureusement que mon mari est un bon bricoleur. 2ème problème : ben, en fait, on ne sait pas d'où vient le problème : la télécommande ou la grue. Bref, cela ne fonctionne plus. Pour résumé, à fonctionner pendant 1 an et plus rien et pourtant, mon fils prend soin de ses jouets. Donc trop cher par rapport à la qualité du produit.
Answer: bad
Question: This watch band is the best I have yet! Was very easy to adjust although it did look intimidating. Great quality and look great!
Answer: good
Question: I received my first order of this product and it was broke so I ordered it again. The second one was broke in more places than the first. I can't blame the shipping process as it's shrink wrapped and boxed.
Answer: | bad
| 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Part 2. Example
The bags came already torn
Answer: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Part 3. Exercise
El paraguas es de muy mala calidad,da la sensación que se va a romper cuando lo abres. Es muy cutre.
Answer: | bad | 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Estoy esperando despues de protestar varias veces pero veo que no hay solucion y no haceis caso me dicen de un reembolso pero yo quiero el auricular
| Solution: bad | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: War ganz okay. Habe mir mehr vom Buch erhofft.
[A]: good
[Q]: Estoy esperando despues de protestar varias veces pero veo que no hay solucion y no haceis caso me dicen de un reembolso pero yo quiero el auricular
[A]: bad
[Q]: Estoy esperando despues de protestar varias veces pero veo que no hay solucion y no haceis caso me dicen de un reembolso pero yo quiero el auricular
[A]: | bad
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Die bisherigen Bewertungen kann ich nicht verstehen. Läuft ohne Probleme
| Solution: good | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example: The bags came already torn
Solution is here: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Now, solve this: Si l'ampoule est un peu protégée par un abat-jour ça va car l'éclairage est assez violent. C'est un blanc froid. Une des ampoules fait du bruit genre néon.
Solution: | good | 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Está bastante bien Es de cartón, lo que hace que no sea tan bonito una vez terminado No tiene mucho juego, ya que son piezas que tienen números, y hay que ir poniendo de la 1 en adelante asi hasta que se termina Una vez terminado, y colocada la última pieza no se puede volver a sacar, por lo que ahi se terminó el juego y no tiene mas, luego queda de decorado, pero encima como es gris y de cartón tampoco luce mucho. Normalito!
Solution: | good | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example: The bags came already torn
Solution is here: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Now, solve this: プラモデルの塗装剥離に使う為に購入 届いて早速使ってみた 結果 １ヶ月経っても未だに剥離出来ない 何じゃこら！
Solution: | bad | 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Sehr angenehmer Duft. Preis- Leistung ist super. Gerne wieder.
good
很多情况都有分类讨论。先介绍基本情况，理清概念。然后具体情况怎么解决都有涉及到。实用性很强。
good
プラモデルの塗装剥離に使う為に購入 届いて早速使ってみた 結果 １ヶ月経っても未だに剥離出来ない 何じゃこら！
| bad
| 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Teacher: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The bags came already torn
Solution: bad
Reason: This is a good example because this is a negative review, so the output bad is correct
Now, solve this instance: 半年で壊れたんで星1です てゆうか1もつけたくないです 確かに安いもの買ったのはこちらです 当たり外れもあると聞きます ただ半年で使いもんにならなくなるようなもの売るのは動作確認なりちゃんとや ってねんだろーなーみたいに感じます スイッチオンにしてもすぐタイトル画面に行く前に止まります(これは 買って1ヶ月くらいしたらもう起こりました) 行ったとしても、ゲーム中に突然電源が落ちます(こちらは最近です) 最終的にはついたとしてもストレージが破損しいてますという表記で終わりました そこから先には一向に進みませんでした 再起動もされませんでした 外れ掴まされただけかもしれませんが、 詐欺かなんかなのかなというのも考えました 保証もとっても短かったので、保証にも出せません 中古で買った自分の責任なのでしょうが、購入を予定されてる方はお気をつけ下さい 当たりもあるでしょうが、外れの場合は無駄なお金払う感じになります ちょっとだけ使えるゴミ売っていただいた感がとてもすごいです
Student: | bad | 2 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Part 1. Definition
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Part 2. Example
The bags came already torn
Answer: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Part 3. Exercise
之前给了一个三星，理由是翻译生涩。现在收回之前的评价，并改成四星，因为后面流畅多了，看来译者也是慢热 型
Answer: | good | 7 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: 不好用，第一次就坏了，散架了。完全散架了。
[EX A]: bad
[EX Q]: This watch band is the best I have yet! Was very easy to adjust although it did look intimidating. Great quality and look great!
[EX A]: good
[EX Q]: 就是快递稍微慢了点 其他的都还好 包装不错 纸张什么都还ok
[EX A]: | good
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Llega tarde y co la talla equivocada
bad
这简直就是太差了！出版社怎么就能出版吗？我以为是百度摘录呢！这到底是哪个鱼目混珠的教授啊？！能给点干 货吗？！总算应验了一句话，一本书哪怕只有一句花你感到有意义也算是本好书。哇为了找这本书哪怕一句不是废 话的句子都费了我整整一天时间。。
bad
Écran de mauvaise qualité, car il s'use en peu de temps et croche. Dommage j'aimais bien car peu de traces de doigts.
| bad
| 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: Followed directions, did not work as advertised.
[A]: bad
[Q]: Der Artikel ist wie beschrieben allerdings geht der Deckel schwer zu und auf. Die Lieferung erfolgt mit einem Tag Verspätung durch Hermes, dass hat aber nichts mit dem Anbieter zu tun.
[A]: good
[Q]: 这个牌子买过几次了，早上给孩子准备早餐，搭配蜂蜜和一些果仁，孩子还比较喜欢吃。
[A]: | good
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Son como los de siempre de plástico pero ecológicos. Y ha buen precio.
Solution: | good | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[Q]: They do what they’re suppose to and are a good price.
[A]: good
[Q]: Jamás me llegó y el vendedor nunca contacto conmigo a pesar de intentarlo 2 veces
[A]: bad
[Q]: Son como los de siempre de plástico pero ecológicos. Y ha buen precio.
[A]: | good
| 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
One example: The bags came already torn
Solution is here: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Now, solve this: Bon rapport qualité /prix sent très bien le jasmin je recommande
Solution: | good | 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example input: The bags came already torn
Example output: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Q: fit as expected. perfect for winter season and I love how it feels to your skin soft and comfortable the size is about right for my baby bump
A: | good | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example input: The bags came already torn
Example output: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Q: In welcher Größe muss ich die Aderendhülsen bestellen?Ich brauche die Größe da der Artikel sonst unbrauchbar ist!
A: | good | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example Input: Te obligan a comprar dos unidades y te llega solo una y no hay forma de reclamar, una autentica estafa, no compreis!!
Example Output: bad
Example Input: 就是快递稍微慢了点 其他的都还好 包装不错 纸张什么都还ok
Example Output: good
Example Input: 2回目の使用で壊れました。 安かろう悪かろうですね。 下山まで完全破壊までは行かず無事に帰れて良かっ たですが、怪我につながるものはしっかりとしたものを選んで買うべきと反省しました。
Example Output: | bad
| 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Ex Input:
之前给了一个三星，理由是翻译生涩。现在收回之前的评价，并改成四星，因为后面流畅多了，看来译者也是慢热 型
Ex Output:
good
Ex Input:
Tuve que devolverla porque al ser triangular no se agarra de forma cómoda para la escritura. Bonita, calidad-precio aceptable, pero poco funcional.
Ex Output:
bad
Ex Input:
正品，送货很快，头天下的单，第二天就送到了
Ex Output:
| good
| 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Habe diesen Artikel bestellt,war auf meiner Wunschliste um 84% reduziert, bekommen habe ich eine Madenschraube. Durch Rücksprache mit dem Verkäufer wurde mir mitgeteilt , das der Fehler bei Amazon liegt. Ich habe zwar mein Geld zurück bekommen, aber von seiten Amazon wurde mir nichts mitgeteilt. Für den Artikel von hansgrohe gibt es fünf Sterne,für den Ablauf des Verkaufs Null Sterne
Solution: | bad | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Example solution: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: Schmeckt einfach nicht gut, es kostet ziemlich Überwindung es zu trinken und ist einfach gar nichts für mich! Das einige was ginge wäre es mit Joghurt zu mischen aber das war's denn auch schon! Mein Mann meinte es schmeckt nach Penicillin und irgendwie stimmt das auch...
| Solution: bad | 5 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Q: War ganz okay. Habe mir mehr vom Buch erhofft.
A: good
****
Q: よくある部分での断線はしませんでした ただiphoneとの接続部で接触不良、折れました iphoneの中に残されてしまい摘出に苦労しました
A: bad
****
Q: Schmeckt einfach nicht gut, es kostet ziemlich Überwindung es zu trinken und ist einfach gar nichts für mich! Das einige was ginge wäre es mit Joghurt zu mischen aber das war's denn auch schon! Mein Mann meinte es schmeckt nach Penicillin und irgendwie stimmt das auch...
A: | bad
****
| 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
[EX Q]: チャックの開閉時に水よけのヒラヒラが邪魔になる。 チャックに食い込んだりする。
[EX A]: good
[EX Q]: Al principio perfectas, pero casi... A las semanas no hacen mucho efecto, medio recomendables!
[EX A]: good
[EX Q]: Très facile et très pratique à coudre
[EX A]: | good
| 6 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example input: The bags came already torn
Example output: bad
Example explanation: This is a good example because this is a negative review, so the output bad is correct
Q: 一人で貼り付けたらホコリが混入して 保護フィルムとして使えなかった。 せめて予備が1枚あれば、良かったんですが。。 スマホやタブレットの保護フィルムと違い、 27インチの画面に貼るのは本当に大変です。 値段も安くないので 購入を検討する方は、よく考えた方がいいです。
A: | bad | 3 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Ex Input:
十分な在庫を用意できない販売元も悪いですが、Amazonやら楽⚪︎が転売を認めちゃってるのが結果的に 転売の後押しになっちゃってるんだよなぁ… Amazonもここぞとばかりに抱き合わせ販売しまくるし… それを恥ずかしいと思えなくなったら動物と同じですよ、最大手さん。
Ex Output:
bad
Ex Input:
Die Lampe ist nach einem Jahr bei nur gelegentlichem Gebrauch defekt- sie schaltet sich grundsätzlich - voll aufgeladen- nach wenigen Sekunden ab.
Ex Output:
bad
Ex Input:
Qualité du son à l'écoute : moyen. Qualité du micro voix : très mauvais. Tenue des batteries : bonne. Durée des batteries : produit inutilisable après 10 mois.
Ex Output:
| bad
| 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Detailed Instructions: In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
See one example below:
Problem: The bags came already torn
Solution: bad
Explanation: This is a good example because this is a negative review, so the output bad is correct
Problem: 見た目はかなりおしゃれで気に入りました。2、3回持ち歩いた後いつも通りゼンマイを巻いていたら突然空回 り。 針の調整はできるけど、つまみをあげても下げてもゼンマイを巻くことができず。 時計屋に持って行っ て中を開けてもらったら、中のケースと外側の規格がそもそも合っていないため、固定されず、一度ズレると噛 み合わなくなるんだそう。 返品して交換した方がいいと言われましたが、保証書付いてないし、 クーリングオフ期間もとっくに過ぎています。 アンティーク感覚で家で放置するならおススメですが、 本来の用途としては全く使えません。 ご注意を。
Solution: | bad | 4 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
Example: The bags came already torn
Output: bad
This is a good example because this is a negative review, so the output bad is correct
New input case for you: Seit ich den Ingrubar Haarverdichter verwende, habe ich tatsächlich das Gefühl, dass meine Haare dicker ist und ich weniger Haare verliere. Meine Haare fühlen sich fester an. Das Produkte ist auch sehr ergiebig und nichts fettet. Ich bin sehr zufrieden. Auf jeden Fall ein Nachkaufprodukt.
Output: | good | 1 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given reviews of various products in one of these languages 1) English 2) Japanese 3) German 4) French 5) Chinese 6) Spanish. Given a review, you need to predict whether the review is good or bad. A negative review is a bad review, and positive/neutral reviews are good reviews.
The bags came already torn
Solution: bad
Why? This is a good example because this is a negative review, so the output bad is correct
New input: Könnte etwas Spannender sein
Solution: | good | 0 | NIv2 | task1575_amazon_reviews_multi_sentiment_classification | fs_opt |
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