diff --git a/notebooks/Classification_Zero-Shot-Learning.ipynb b/notebooks/Classification_Zero-Shot-Learning.ipynb index 4a7ab888a7f66428cc6e486d2b1668d3636fa511..d3dd9c87c5cdeafed2bc2a4121eb91b1ab4f5f3f 100644 --- a/notebooks/Classification_Zero-Shot-Learning.ipynb +++ b/notebooks/Classification_Zero-Shot-Learning.ipynb @@ -95,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "id": "bcptSr6o3ac7" }, @@ -143,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -158,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -166,170 +166,7 @@ "id": "LRKJzWmf3pCg", "outputId": "686c3ef4-8267-4266-95af-7193725aadca" }, - "outputs": [ - { - "data": { - "text/html": [ - "<div>\n", - "<style scoped>\n", - " .dataframe tbody tr th:only-of-type {\n", - " vertical-align: middle;\n", - " }\n", - "\n", - " .dataframe tbody tr th {\n", - " vertical-align: top;\n", - " }\n", - "\n", - " .dataframe thead th {\n", - " text-align: right;\n", - " }\n", - "</style>\n", - "<table border=\"1\" class=\"dataframe\">\n", - " <thead>\n", - " <tr style=\"text-align: right;\">\n", - " <th></th>\n", - " <th>volume</th>\n", - " <th>numero</th>\n", - " <th>head</th>\n", - " <th>normClass</th>\n", - " <th>classEDdA</th>\n", - " <th>author</th>\n", - " <th>id_enccre</th>\n", - " <th>domaine_enccre</th>\n", - " <th>ensemble_domaine_enccre</th>\n", - " <th>content</th>\n", - " <th>contentWithoutClass</th>\n", - " <th>firstParagraph</th>\n", - " <th>nb_word</th>\n", - " </tr>\n", - " </thead>\n", - " <tbody>\n", - " <tr>\n", - " <th>0</th>\n", - " <td>11</td>\n", - " <td>2973</td>\n", - " <td>ORNIS</td>\n", - " <td>Commerce</td>\n", - " <td>Comm.</td>\n", - " <td>unsigned</td>\n", - " <td>v11-1767-0</td>\n", - " <td>commerce</td>\n", - " <td>Commerce</td>\n", - " <td>ORNIS, s. m. toile des Indes, (Comm.) sortes d...</td>\n", - " <td>ORNIS, s. m. toile des Indes, () sortes de\\nto...</td>\n", - " <td>ORNIS, s. m. toile des Indes, () sortes de\\nto...</td>\n", - " <td>45</td>\n", - " </tr>\n", - " <tr>\n", - " <th>1</th>\n", - " <td>3</td>\n", - " <td>3525</td>\n", - " <td>COMPRENDRE</td>\n", - " <td>Philosophie</td>\n", - " <td>terme de Philosophie,</td>\n", - " <td>Diderot</td>\n", - " <td>v3-1722-0</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", - " <td>* COMPRENDRE, v. act. terme de Philosophie,\\nc...</td>\n", - " <td>* COMPRENDRE, v. act. \\nc'est appercevoir la l...</td>\n", - " <td>* COMPRENDRE, v. act. \\nc'est appercevoir la l...</td>\n", - " <td>92</td>\n", - " </tr>\n", - " <tr>\n", - " <th>2</th>\n", - " <td>1</td>\n", - " <td>2560</td>\n", - " <td>ANCRE</td>\n", - " <td>Marine</td>\n", - " <td>Marine</td>\n", - " <td>d'Alembert & Diderot</td>\n", - " <td>v1-1865-0</td>\n", - " <td>marine</td>\n", - " <td>Marine</td>\n", - " <td>ANCRE, s. f. 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(.) est un instrument de fer\\nABC... 3327 \n", - "3 VAKEBARO, () vallée du royaume\\nd'Espagne dans... 34 \n", - "4 INSPECTEUR, s. m. inspector ; () celui \\nà qui... 102 " - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df = pd.read_csv(input_path + test_set_path, sep=\"\\t\")\n", "df.head()" @@ -337,27 +174,16 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(15854, 13)" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df.shape" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -368,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -377,77 +203,18 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(13441, 13)" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df.shape" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Commerce',\n", - " 'Marine',\n", - " 'Géographie',\n", - " 'Histoire',\n", - " 'Belles-lettres - Poésie',\n", - " 'Economie domestique',\n", - " 'Droit - Jurisprudence',\n", - " 'Médecine - Chirurgie',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Beaux-arts',\n", - " 'Antiquité',\n", - " 'Histoire naturelle',\n", - " 'Grammaire',\n", - " 'Philosophie',\n", - " 'Arts et métiers',\n", - " 'Pharmacie',\n", - " 'Religion',\n", - " 'Pêche',\n", - " 'Anatomie',\n", - " 'Architecture',\n", - " 'Musique',\n", - " 'Jeu',\n", - " 'Caractères',\n", - " 'Métiers',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Maréchage - Manège',\n", - " 'Chimie',\n", - " 'Blason',\n", - " 'Chasse',\n", - " 'Mathématiques',\n", - " 'Médailles',\n", - " 'Superstition',\n", - " 'Agriculture - Economie rustique',\n", - " 'Mesure',\n", - " 'Monnaie',\n", - " 'Minéralogie',\n", - " 'Politique',\n", - " 'Spectacle']" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "classes = df[column_class].unique().tolist()\n", "classes" @@ -471,80 +238,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e5a45c55993f47019fbdc0aceda84def", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/899k [00:00<?, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a7285f3fe7154920a0bb05fdb921d6f9", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/456k [00:00<?, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "0cb38fe0e7934c49bbce246e88dd6e53", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/26.0 [00:00<?, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2c9dd205446a4b25848f1f06beeac8ae", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/1.15k [00:00<?, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "032334b5310d4588993b7d85329d916c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/1.63G [00:00<?, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# load model pretrained on MNLI\n", "tokenizer = BartTokenizer.from_pretrained('facebook/bart-large-mnli')\n", @@ -583,7 +279,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -638,84 +334,18 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\"ORNIS, s. m. toile des Indes, (Comm.) sortes de\\ntoiles de coton ou de mousseline, qui se font a Brampour ville de l'Indoustan, entre Surate & Agra. Ces\\ntoiles sont par bandes, moitié coton & moitié or &\\nargent. Il y en a depuis quinze jusqu'à vingt aunes.\"" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df[column_text].tolist()[0]" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The hypothesis with the highest score is: \"Commerce\" with a probability of 70.05%\n" - ] - }, - { - "data": { - "text/plain": [ - "[('Commerce', 70.05109786987305),\n", - " ('Anatomie', 68.73835921287537),\n", - " ('Politique', 60.711854696273804),\n", - " ('Géographie', 59.15616154670715),\n", - " ('Architecture', 58.7415874004364),\n", - " ('Histoire', 57.4596107006073),\n", - " ('Agriculture - Economie rustique', 53.530728816986084),\n", - " ('Histoire naturelle', 48.45908284187317),\n", - " ('Antiquité', 46.68468534946442),\n", - " ('Beaux-arts', 42.85620450973511),\n", - " ('Mesure', 41.310253739356995),\n", - " ('Jeu', 41.221246123313904),\n", - " ('Droit - Jurisprudence', 41.13341271877289),\n", - " ('Minéralogie', 38.13730478286743),\n", - " ('Spectacle', 37.80337870121002),\n", - " ('Pêche', 37.214699387550354),\n", - " ('Superstition', 36.72800958156586),\n", - " ('Arts et métiers', 36.512187123298645),\n", - " ('Métiers', 36.505624651908875),\n", - " ('Monnaie', 35.89847385883331),\n", - " ('Musique', 32.74992108345032),\n", - " ('Mathématiques', 32.70103633403778),\n", - " ('Chasse', 29.351988434791565),\n", - " ('Economie domestique', 28.34642231464386),\n", - " ('Philosophie', 27.653351426124573),\n", - " ('Chimie', 25.783848762512207),\n", - " ('Physique - [Sciences physico-mathématiques]', 25.403589010238647),\n", - " ('Médailles', 24.586908519268036),\n", - " ('Grammaire', 22.362521290779114),\n", - " ('Caractères', 20.14842927455902),\n", - " ('Pharmacie', 19.72046047449112),\n", - " ('Militaire (Art) - Guerre - Arme', 19.68255490064621),\n", - " ('Médecine - Chirurgie', 18.616029620170593),\n", - " ('Marine', 18.207980692386627),\n", - " ('Belles-lettres - Poésie', 13.30692172050476),\n", - " ('Blason', 10.476682335138321),\n", - " ('Religion', 9.701979160308838),\n", - " ('Maréchage - Manège', 4.211422428488731)]" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "premise = df[column_text].tolist()[0]\n", "\n", @@ -732,27 +362,16 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Commerce'" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "probs[0][0]" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -771,1018 +390,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Commerce',\n", - " 'Marine',\n", - " 'Géographie',\n", - " 'Histoire',\n", - " 'Histoire',\n", - " 'Marine',\n", - " 'Belles-lettres - Poésie',\n", - " 'Economie domestique',\n", - " 'Droit - Jurisprudence',\n", - " 'Droit - Jurisprudence',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Beaux-arts',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Histoire naturelle',\n", - " 'Grammaire',\n", - " 'Philosophie',\n", - " 'Histoire',\n", - " 'Médecine - Chirurgie',\n", - " 'Grammaire',\n", - " 'Géographie',\n", - " 'Arts et métiers',\n", - " 'Droit - Jurisprudence',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Antiquité',\n", - " 'Histoire naturelle',\n", - " 'Histoire naturelle',\n", - " 'Pharmacie',\n", - " 'Grammaire',\n", - " 'Religion',\n", - " 'Droit - Jurisprudence',\n", - " 'Histoire',\n", - " 'Médecine - Chirurgie',\n", - " 'Pêche',\n", - " 'Anatomie',\n", - " 'Architecture',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Histoire naturelle',\n", - " 'Histoire',\n", - " 'Musique',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Belles-lettres - Poésie',\n", - " 'Commerce',\n", - " 'Jeu',\n", - " 'Histoire naturelle',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Caractères',\n", - " 'Métiers',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Histoire naturelle',\n", - " 'Architecture',\n", - " 'Droit - Jurisprudence',\n", - " 'Belles-lettres - Poésie',\n", - " 'Métiers',\n", - " 'Histoire',\n", - " 'Grammaire',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Maréchage - Manège',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Grammaire',\n", - " 'Grammaire',\n", - " 'Histoire naturelle',\n", - " 'Droit - Jurisprudence',\n", - " 'Géographie',\n", - " 'Médecine - Chirurgie',\n", - " 'Architecture',\n", - " 'Grammaire',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Grammaire',\n", - " 'Géographie',\n", - " 'Chimie',\n", - " 'Métiers',\n", - " 'Droit - Jurisprudence',\n", - " 'Métiers',\n", - " 'Blason',\n", - " 'Géographie',\n", - " 'Blason',\n", - " 'Religion',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Grammaire',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Métiers',\n", - " 'Médecine - Chirurgie',\n", - " 'Droit - Jurisprudence',\n", - " 'Histoire',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Antiquité',\n", - " 'Philosophie',\n", - " 'Grammaire',\n", - " 'Commerce',\n", - " 'Commerce',\n", - " 'Grammaire',\n", - " 'Médecine - 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" 'Droit - Jurisprudence',\n", - " 'Géographie',\n", - " 'Mathématiques',\n", - " 'Géographie',\n", - " 'Médecine - Chirurgie',\n", - " 'Médecine - Chirurgie',\n", - " 'Chasse',\n", - " 'Droit - Jurisprudence',\n", - " 'Histoire',\n", - " 'Histoire naturelle',\n", - " 'Géographie',\n", - " 'Commerce',\n", - " 'Religion',\n", - " 'Agriculture - Economie rustique',\n", - " 'Marine',\n", - " 'Commerce',\n", - " 'Anatomie',\n", - " 'Anatomie',\n", - " 'Agriculture - Economie rustique',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Musique',\n", - " 'Architecture',\n", - " 'Marine',\n", - " 'Histoire',\n", - " 'Géographie',\n", - " 'Grammaire',\n", - " 'Géographie',\n", - " 'Histoire naturelle',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Superstition',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Médecine - Chirurgie',\n", - " 'Histoire naturelle',\n", - " 'Agriculture - Economie rustique',\n", - " 'Droit - Jurisprudence',\n", - " 'Histoire naturelle',\n", - " 'Métiers',\n", - " 'Pharmacie',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Droit - Jurisprudence',\n", - " 'Grammaire',\n", - " 'Histoire',\n", - " 'Agriculture - Economie rustique',\n", - " 'Droit - Jurisprudence',\n", - " 'Histoire naturelle',\n", - " 'Histoire',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Histoire',\n", - " 'Histoire',\n", - " 'Belles-lettres - Poésie',\n", - " 'Histoire',\n", - " 'Architecture',\n", - " 'Physique - [Sciences physico-mathématiques]',\n", - " 'Philosophie',\n", - " 'Géographie',\n", - " 'Histoire naturelle',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Religion',\n", - " 'Droit - Jurisprudence',\n", - " 'Médecine - Chirurgie',\n", - " 'Droit - Jurisprudence',\n", - " 'Antiquité',\n", - " 'Grammaire',\n", - " 'Droit - Jurisprudence',\n", - " 'Géographie',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Marine',\n", - " 'Mathématiques',\n", - " 'Antiquité',\n", - " 'Caractères',\n", - " 'Commerce',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Géographie',\n", - " 'Métiers',\n", - " 'Médecine - Chirurgie',\n", - " 'Belles-lettres - Poésie',\n", - " 'Métiers',\n", - " 'Médecine - Chirurgie',\n", - " 'Droit - Jurisprudence',\n", - " 'Antiquité',\n", - " 'Maréchage - Manège',\n", - " 'Economie domestique',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Agriculture - Economie rustique',\n", - " 'Droit - Jurisprudence',\n", - " 'Droit - Jurisprudence',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Commerce',\n", - " 'Beaux-arts',\n", - " 'Mathématiques',\n", - " 'Géographie',\n", - " 'Antiquité',\n", - " 'Géographie',\n", - " 'Histoire naturelle',\n", - " 'Médecine - Chirurgie',\n", - " 'Géographie',\n", - " 'Droit - Jurisprudence',\n", - " 'Droit - Jurisprudence',\n", - " 'Métiers',\n", - " 'Militaire (Art) - Guerre - Arme',\n", - " 'Chasse',\n", - " 'Marine',\n", - " 'Géographie',\n", - " 'Agriculture - Economie rustique',\n", - " 'Métiers',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " 'Géographie',\n", - " ...]" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "true_labels = df[column_class].tolist()" ]