Update parquet files

.gitattributes

@@ -1,78 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text
-data/arabic/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/french/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/hindi/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/italian/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/portuguese/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/portuguese/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/spanish/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/spanish/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/english/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/english/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/french/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/german/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/italian/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/portuguese/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/arabic/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/english/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/german/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/german/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/hindi/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/italian/validation.jsonl filter=lfs diff=lfs merge=lfs -text
-data/arabic/train.jsonl filter=lfs diff=lfs merge=lfs -text
-data/french/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/hindi/test.jsonl filter=lfs diff=lfs merge=lfs -text
-data/spanish/test.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,196 +0,0 @@
----
-language:
-- en
-- ar
-- fr
-- de
-- hi
-- it
-- pt
-- es
-multilinguality:
-- multilingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- extended|other-tweet-datasets
-task_categories:
-- text-classification
-task_ids:
-- sentiment-classification
-paperswithcode_id: tweet_sentiment_multilingual
-pretty_name: Tweet Sentiment Multilingual
-train-eval-index:
-- config: sentiment
-  task: text-classification
-  task_id: multi_class_classification
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    text: text
-    label: target
-  metrics:
-  - type: accuracy
-    name: Accuracy
-  - type: f1
-    name: F1 macro
-    args:
-      average: macro
-  - type: f1
-    name: F1 micro
-    args:
-      average: micro
-  - type: f1
-    name: F1 weighted
-    args:
-      average: weighted
-  - type: precision
-    name: Precision macro
-    args:
-      average: macro
-  - type: precision
-    name: Precision micro
-    args:
-      average: micro
-  - type: precision
-    name: Precision weighted
-    args:
-      average: weighted
-  - type: recall
-    name: Recall macro
-    args:
-      average: macro
-  - type: recall
-    name: Recall micro
-    args:
-      average: micro
-  - type: recall
-    name: Recall weighted
-    args:
-      average: weighted
-configs:
-- arabic
-- english
-- french
-- german
-- hindi
-- italian
-- portuguese
-- spanish
-dataset_info:
-- config_name: sentiment
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          0: negative
-          1: neutral
-          2: positive
----
-
-# Dataset Card for cardiffnlp/tweet_sentiment_multilingual
-
-## Dataset Description
-
-- **Homepage:** [https://github.com/cardiffnlp/xlm-t](https://github.com/cardiffnlp/xlm-t)
-- **Repository:** - **Homepage:** [https://github.com/cardiffnlp/xlm-t](https://github.com/cardiffnlp/xlm-t)
-- **Paper:** [https://aclanthology.org/2022.lrec-1.27/](https://aclanthology.org/2022.lrec-1.27/)
-- **Point of Contact:** [Asahi Ushio](https://asahiushio.com/)
-
-### Dataset Summary
-
-Tweet Sentiment Multilingual consists of sentiment analysis dataset on Twitter in 8 different lagnuages.
-
-- arabic
-- english
-- french
-- german
-- hindi
-- italian
-- portuguese
-- spanish
-
-### Supported Tasks and Leaderboards
-
-- `text_classification`: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.
-
-## Dataset Structure
-
-### Data Instances
-
-An instance from `sentiment` config:
-
-```
-{'label': 2, 'text': '"QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin"'}
-```
-
-### Data Fields
-
-For `sentiment` config:
-
-- `text`: a `string` feature containing the tweet.
-
-- `label`: an `int` classification label with the following mapping:
-
-    `0`: negative
-
-    `1`: neutral
-
-    `2`: positive
-
-
-### Data Splits
-
-
-- arabic
-- english
-- french
-- german
-- hindi
-- italian
-- portuguese
-- spanish
-
-| name            | train | validation | test  |
-| --------------- | ----- | ---------- | ----- |
-| arabic          | 1838  | 323        | 869   |
-| english         | 1838  | 323        | 869   |
-| french          | 1838  | 323        | 869   |
-| german          | 1838  | 323        | 869   |
-| hindi           | 1838  | 323        | 869   |
-| italian         | 1838  | 323        | 869   |
-| portuguese      | 1838  | 323        | 869   |
-| spanish         | 1838  | 323        | 869   |
-
-### Dataset Curators
-
-Francesco Barbieri, Jose Camacho-Collados, Luis Espiinosa-Anke and Leonardo Neves through Cardiff NLP.
-
-### Licensing Information
-
-[Creative Commons Attribution 3.0 Unported License](https://groups.google.com/g/semevaltweet/c/k5DDcvVb_Vo/m/zEOdECFyBQAJ), and all of the datasets require complying with Twitter [Terms Of Service](https://twitter.com/tos) and Twitter API [Terms Of Service](https://developer.twitter.com/en/developer-terms/agreement-and-policy)
-
-
-### Citation Information
-
-```
-@inproceedings{barbieri-etal-2022-xlm,
-    title = "{XLM}-{T}: Multilingual Language Models in {T}witter for Sentiment Analysis and Beyond",
-    author = "Barbieri, Francesco  and
-      Espinosa Anke, Luis  and
-      Camacho-Collados, Jose",
-    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
-    month = jun,
-    year = "2022",
-    address = "Marseille, France",
-    publisher = "European Language Resources Association",
-    url = "https://aclanthology.org/2022.lrec-1.27",
-    pages = "258--266",
-    abstract = "Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on clean pre-training and task-specific corpora as multilingual signals. In this paper, we introduce XLM-T, a model to train and evaluate multilingual language models in Twitter. In this paper we provide: (1) a new strong multilingual baseline consisting of an XLM-R (Conneau et al. 2020) model pre-trained on millions of tweets in over thirty languages, alongside starter code to subsequently fine-tune on a target task; and (2) a set of unified sentiment analysis Twitter datasets in eight different languages and a XLM-T model trained on this dataset.",
-}
-```
-

data/arabic/validation.jsonl → all/tweet_sentiment_multilingual-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:418e270eb5e96a20f4a0ea559663147bca084ab7852ba121d8375ebd0354687f
-size 139946
+oid sha256:7310481fc0b33b94b012b4bab506bf0993e1e27b58b521ac24b9c12f1a194d7a
+size 464178

all/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ffdb81605e3e833fbac611b4c8b93b72d4b1be18f07dbee451751f2b23b228a
+size 1029795

data/english/test.jsonl → all/tweet_sentiment_multilingual-validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc0aecebfa381614cc14dfe13684f94558e4a28446a52c3acc2eb674694f7785
-size 107114
+oid sha256:52a01e3e385b44e007ed6d33dd721ce419f8c8c055b1e92734d8170c1c8deed3
+size 186769

data/english/validation.jsonl → arabic/tweet_sentiment_multilingual-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbb766902afc20d3d8cb7655a9c293484ec7ff9244811e4a4598b97f8a2522b7
-size 44452
+oid sha256:6f7d509c351f00764f3a1a5392c1d10a4d55265fdfcb4b2a047de43b15d4bc88
+size 74890

data/arabic/test.jsonl → arabic/tweet_sentiment_multilingual-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01f8313cd0dc0cfc1861ecb4dd980291fd716111099809c03dc90dc39d0069a0
-size 377002
+oid sha256:64a4109622b066b5f5e1ad9b5f78268a1dad583bbff704e0ee77cfda8c873c01
+size 172586

data/french/validation.jsonl → arabic/tweet_sentiment_multilingual-validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc81468da96c19da4a1aea39ac681e5202bfe2fe8fb2a5d0fe586df5c2d7431d
-size 44780
+oid sha256:53591ed4db2852047a3777adc15d35a0edbe19cd52310af68901a27b550da42f
+size 32424

data/english/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:96596c722cb8074ca0c8df1243a248fe265c49c1aa50ba79c14b24dd23303111
-size 252778

data/french/test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f9a053c514b0599c567ceb84493b6f9387e9c65ac2870dd5e324c346d963a918
-size 118171

data/french/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:21282750ba58ccda3ff4c8c670879b585d97081375d2cee2fdfcce53ae608270
-size 255265

data/german/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:56e69e898569d42511acfa1f5016fb8007bc9ffb1fbfa87530f19ccaef079f31
-size 196128

data/hindi/test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:af4cfc1078e4b5cda6880831f09aa1bfbf41785b2433a364a20a8bac0a6f4cc1
-size 86209

data/hindi/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8f5e65240b92f2f5bab49c31d6f32c633bbce054f3db60082e704e8fe6b322d8
-size 191961

data/hindi/validation.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7bce67a7e593240086e82975c4fefe28cef8235260ab5fb98432b6b5b25dba9f
-size 35196

data/italian/test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a09cd1840ec79493a0b35db87770c89262e85a91c51501cb536dfa14d59af2cb
-size 107833

data/italian/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:87e780efdbbb3cea03a8fa18b4893d69238b5790c5b09e862ec8ecb5601c235b
-size 221715

data/italian/validation.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:50a1f9990806fa157036376c29fe4a2fd3af046e24247774c00a5f350d0dad04
-size 39529

data/portuguese/test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:274fa27f495b42485698b49775bfa07226dc6acc8795bc350ad367234905fee8
-size 97981

data/portuguese/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:95262fd2bf0e30657cf990ed9141aca8d9c0b0b18cdd35ef84b0488e2de9de09
-size 207443

data/portuguese/validation.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:906d1bd07d39e7bed4d5d22697986652c8a1b778a9107f1e62a31f81d7ade9ac
-size 35171

data/spanish/test.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6cd7b62449ee93aa27c4bc9c8c4bbede4a6ce59e371e1b8abe7792cb1c8f5293
-size 103206

data/spanish/train.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:46495c835f5ca2e23f58f602283d8bed0a380d1c247a5a033fe5b8647de82a27
-size 215584

data/spanish/validation.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4fdfe3a351205acd41f5ed227977ec55f84a175d1d508f29efa72cdb04660b52
-size 38357

data/german/test.jsonl → english/tweet_sentiment_multilingual-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b1514c244f85cfd2fe79ffb204908fffe30ac3132e43262be49c07e80dbc298
-size 92006
+oid sha256:2e3a3412be08ec90031fe6b90fe28dcdc9b5a984c4dae3147626f408639a98ac
+size 64769

data/arabic/train.jsonl → english/tweet_sentiment_multilingual-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb7ab607bc982c148bbcf966f2ecbe58c795c0d64ea787212ffe5dbdf8b06b71
-size 804638
+oid sha256:aa69da910e7ae37e70ffd6513e02e82729ff5eec617e326eeff90b9d9fdf7293
+size 155187

data/german/validation.jsonl → english/tweet_sentiment_multilingual-validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08d79cbacc152219f57ce22ee42f118ef9ab5b1ebe0544144a7ed04d3498c003
-size 32936
+oid sha256:e1a6c832484e8d08e94a5ad2a7026eaa89a8e1c657f56358ec2298508a950276
+size 29131

french/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6f51c650a9f79b4eacb05ff35f60e8af79f1288938276e097f87a37ee14a6ad
+size 56910

french/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:deb0ef37e417cb0b2535ab23590a99119d11af3e23f9e858eb33d17e4687e9e6
+size 125845

french/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc84c91a3a0288268fc0bab25a6ee32ebbd9b0b24805abcf572d71c365d3407c
+size 24309

german/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e6e0428b7a6e76d8eca21c8eee1551f3c14f4d3f4a036f69da9bed1b5bf427e
+size 54060

german/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f3eaddfedc011d30bc4341b6cdc00f2623c2df979e6801742f9c74277523cb2
+size 114219

german/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8d9aca7d145022aca081a27a80e62610226ab3f9d6273bef299b478d41fae9b
+size 20678

hindi/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a057f9ec913e7f26795fd55bb314d5d62c75ce0e320bc5af86f0feaf9256a4f
+size 51816

hindi/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e128e054716785fdaf051e10097faa6c6bde3b5bd0ad7af3dcc3eceeef590a01
+size 116563

hindi/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4ae2574ac3c917ee8d574da293e097bc339ad7173d2b5c22a67d20f57e5b4f1
+size 22985

italian/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2886237881ec953cabacbd7652158793ae0793703266489d137d600df1e89f4e
+size 57551

italian/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91fc8af458b543168d9f8ea9982068f672b87b2906151796cd82d13da944b3fb
+size 126025

italian/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebc89d2c19d13c15701e6ba2a7ffe1ef87810a3e8a31e85e11d22b4f7262c5be
+size 24628

portuguese/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3875e7ff6782d5cc3c79b59885aeab712f8df0124830de5420878f706e70635
+size 47363

portuguese/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fc7b8a2dbac50aca3548112a75cff5e34e6a16211d35b904fcca440469e3b0b
+size 101341

portuguese/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a159f96bbf26f3f1769536b3d28d9f2c076414e7e1d4c85cfa71e76211d72786
+size 19033

spanish/tweet_sentiment_multilingual-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:141dff3f07742ef94e92c1147bc619e30d89ae45baaa062e4c7fc19d712c267d
+size 58015

spanish/tweet_sentiment_multilingual-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f4022f00265960909ea0b2081f61c017150c773f4f156b54d0e63419c439dd9
+size 119516

spanish/tweet_sentiment_multilingual-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27b6278d1652b75b0d4acd3a24a3ec3c753092feb6277c46e5f27f981cffc06f
+size 23578

tweet_sentiment_multilingual.py

@@ -1,81 +0,0 @@
-import json
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-_VERSION = "0.1.0"
-_NAME = "tweet_sentiment_multilingual"
-_DESCRIPTION = "Multilingual sentiment analysis dataset on Twitter."
-_CITATION = """
-@inproceedings{barbieri-etal-2022-xlm,
-    title = "{XLM}-{T}: Multilingual Language Models in {T}witter for Sentiment Analysis and Beyond",
-    author = "Barbieri, Francesco  and
-      Espinosa Anke, Luis  and
-      Camacho-Collados, Jose",
-    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
-    month = jun,
-    year = "2022",
-    address = "Marseille, France",
-    publisher = "European Language Resources Association",
-    url = "https://aclanthology.org/2022.lrec-1.27",
-    pages = "258--266",
-    abstract = "Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention. However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on clean pre-training and task-specific corpora as multilingual signals. In this paper, we introduce XLM-T, a model to train and evaluate multilingual language models in Twitter. In this paper we provide: (1) a new strong multilingual baseline consisting of an XLM-R (Conneau et al. 2020) model pre-trained on millions of tweets in over thirty languages, alongside starter code to subsequently fine-tune on a target task; and (2) a set of unified sentiment analysis Twitter datasets in eight different languages and a XLM-T model trained on this dataset.",
-}
-"""
-_HOMEPAGE = "https://github.com/cardiffnlp/xlm-t"
-_BASE_URL = "https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual/resolve/main/data"
-_LANGUAGE = ["arabic", "english", "french", "german", "hindi", "italian", "portuguese", "spanish"]
-_URLS = {l: {
-    k: [f'{_BASE_URL}/{l}/{k}.jsonl'] for k in [str(datasets.Split.TEST), str(datasets.Split.TRAIN), str(datasets.Split.VALIDATION)]
-} for l in _LANGUAGE}
-_URLS['all'] = {k: [f'{_BASE_URL}/{l}/{k}.jsonl' for l in _LANGUAGE] for k in [str(datasets.Split.TEST), str(datasets.Split.TRAIN), str(datasets.Split.VALIDATION)]}
-
-
-class TweetSentimentMultilingualConfig(datasets.BuilderConfig):
-    """BuilderConfig"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(TweetSentimentMultilingualConfig, self).__init__(**kwargs)
-
-
-class TweetSentimentMultilingual(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        TweetSentimentMultilingualConfig(name=l, version=datasets.Version(_VERSION), description=_DESCRIPTION) for l in _LANGUAGE
-    ]
-    BUILDER_CONFIGS += [TweetSentimentMultilingualConfig(name='all', version=datasets.Version(_VERSION), description=_DESCRIPTION)]
-    
-    def _info(self):
-        names = ["negative", "neutral", "positive"]
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=names)}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS[self.config.name])
-        return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
-                for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
-
-    def _generate_examples(self, filepaths):
-        """This function returns the examples in the raw (text) form."""
-        _key = 0
-        for filepath in filepaths:
-            logger.info("generating examples from = %s", filepath)
-            with open(filepath, encoding="utf-8") as f:
-                _list = f.read().split('\n')
-                if _list[-1] == '':
-                    _list = _list[:-1]
-                for i in _list:
-                    data = json.loads(i)
-                    yield _key, data
-                    _key += 1