{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JeByetuw4Z8p", "outputId": "3d217ba3-6a14-4fac-a2a7-034da9c2e192" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.27.1)\n", "Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (2.2.2)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (3.16.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2024.10.0)\n", "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (6.0.2)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2.32.3)\n", "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.67.1)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.12.2)\n", "Requirement already satisfied: numpy>=1.23.2 in /usr/local/lib/python3.11/dist-packages (from pandas) (1.26.4)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas) (2024.2)\n", "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas) (2024.2)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2024.12.14)\n" ] } ], "source": [ "!pip install huggingface_hub pandas" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 17, "referenced_widgets": [ "0f462b65ea3c4e488a048fce32a7c8b6", "cd653a468497476aae5fe8fffb2d9579", "32eb9f14061443f19889bc3e5df657d1", "b8154a7517664bd5bc6683849831dcc6", "e99446fde46b46ed8afa21a544e88a04", "b768d5e77827402f998ff75095dee07b", "eda21131cb6b40afb539f53b0d30b13c", "98222f2f7e9e48c18d5b61e4199b2c02", "d8c4fd408a464de7beed4b16d332a486", "603e2ed3f4c941709c16f3990293337c", "94480a715ddf4c1f80fa1ee70dba800f", "1cf8d80b0925405db51631a7a85b21e2", "4070c3e029294b718a33f4d795dabafa", "9ed483c8531a4ebfa3818fd909dbe6b4", "d8b77f35993344dcbffb57278466e096", "4b9d7c9d1f274b66b921439b785fa41f", "7eb155ca4f3f440387f59ebbc2b9bd6e", "e43e25a65a0a4540a7b64d883b85ff44", "d404142ab7864c8d9ebe89ae3b83a53b", "8ed4bce1e8b94d04980d2399f9ff907c" ] }, "id": "-KBQcoiuz-0C", "outputId": "2c35c829-b636-43a4-ff62-886e314151e5" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
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This behaviour is the source of the following dependency conflicts.\n", "grpcio-status 1.62.3 requires protobuf>=4.21.6, but you have protobuf 3.20.3 which is incompatible.\n", "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\n", "tensorflow-metadata 1.16.1 requires protobuf<6.0.0dev,>=4.25.2; python_version >= \"3.11\", but you have protobuf 3.20.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed bitsandbytes-0.45.1 cut_cross_entropy-25.1.1 datasets-3.2.0 dill-0.3.8 fsspec-2024.9.0 hf_transfer-0.1.9 multiprocess-0.70.16 protobuf-3.20.3 shtab-1.7.1 trl-0.13.0 tyro-0.9.13 unsloth-2025.1.6 unsloth_zoo-2025.1.5 xformers-0.0.29.post1 xxhash-3.5.0\n" ] }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "google" ] }, "id": "5d02a9a028ff45588330f44ebc7fff46" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (24.2)\n", "Collecting ninja\n", " Downloading ninja-1.11.1.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (5.3 kB)\n", "Requirement already satisfied: einops in /usr/local/lib/python3.11/dist-packages (0.8.0)\n", "Collecting flash-attn>=2.6.3\n", " Downloading flash_attn-2.7.3.tar.gz (3.2 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.2/3.2 MB\u001b[0m \u001b[31m97.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", "Using cached ninja-1.11.1.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (422 kB)\n", "Building wheels for collected packages: flash-attn\n", " Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for flash-attn: filename=flash_attn-2.7.3-cp311-cp311-linux_x86_64.whl size=191363917 sha256=b1243e9b86687348a5ab03a073abacdf8e3d5e9e4b7e5326a183f47348c5dfba\n", " Stored in directory: /root/.cache/pip/wheels/d0/a3/f9/48d2706cb2eac05ec0dc144bf6954fe47bb3c2cd0de280765e\n", "Successfully built flash-attn\n", "Installing collected packages: ninja, flash-attn\n", "Successfully installed flash-attn-2.7.3 ninja-1.11.1.3\n" ] } ], "source": [ "! pip install unsloth --upgrade --no-cache-dir\n", "import torch\n", "if torch.cuda.get_device_capability()[0] >= 8:\n", " !pip install --no-deps packaging ninja einops \"flash-attn>=2.6.3\"" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 609, "referenced_widgets": [ "1f33ee1bcd8c4ed288bbfc183c53535f", "54861892117d4e07bc6020b12915d1ed", "dd98840270ca4244b6d9edcbaeff6af2", "127459ec4e374d97bccb26b1d1e78b6b", "97d34a667a664bae82db4b6fc95cb697", "d4ae6b1e5a2d4e618fb8a3728937e074", "235751123e734d788e35b21da0ade4b3", "70c54cb734ec42f7b946f1b52a374489", 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"outputId": "0b018918-168c-475f-d7c1-4527d872c864" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "0it [00:00, ?it/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "1f33ee1bcd8c4ed288bbfc183c53535f" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "🦥 Unsloth Zoo will now patch everything to make training faster!\n", "==((====))== Unsloth 2025.1.6: Fast Gemma2 patching. Transformers: 4.47.1.\n", " \\\\ /| GPU: NVIDIA A100-SXM4-40GB. Max memory: 39.564 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.5.1+cu121. CUDA: 8.0. CUDA Toolkit: 12.1. Triton: 3.1.0\n", "\\ / Bfloat16 = TRUE. FA [Xformers = 0.0.29.post1. FA2 = True]\n", " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n", "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "model.safetensors.index.json: 0%| | 0.00/39.1k [00:00 4$ जो संतुष्ट करते हैं\\n\\[\\... \n", "\n", " Output LANG \\\n", "0 4 en \n", "1 D en \n", "2 d hi \n", "3 A en \n", "4 The fourth member of the alkane series is buta... en \n", "... ... ... \n", "43767 The text does not specify how often resolution... en \n", "43768 def clear_tuple(test_tup):\\r\\n temp = list(te... en \n", "43769 एक मेसोस्कोपिक तार की चालकता कई कारकों से प्रभ... hi \n", "43770 B hi \n", "43771 दी गई समीकरण से,\\n\\[\\sqrt{x + 4 \\sqrt{x - 4}} ... hi \n", "\n", " type subject_name topic; subject \n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN Organic chemistry NaN \n", "... ... ... ... ... \n", "43767 NaN NaN NaN NaN \n", "43768 NaN NaN NaN NaN \n", "43769 NaN NaN Condensed matter physics NaN \n", "43770 NaN NaN NaN NaN \n", "43771 Intermediate Algebra NaN NaN NaN \n", "\n", "[43772 rows x 7 columns]" ], "text/html": [ "\n", "
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InputOutputLANGtypesubject_nametopic;subject
0If the total of Mario and Maria's ages is curr...4enNaNNaNNaNNaN
1A researcher observes that an organism placed ...DenNaNNaNNaNNaN
2एक ट्रेन जो 350 मीटर लंबी है, एक इलेक्ट्रिक पो...dhiNaNNaNNaNNaN
3how do you clammer something? ### A) hit it ##...AenNaNNaNNaNNaN
4Here's a question:\\n\\nWhat is the molecular fo...The fourth member of the alkane series is buta...enNaNNaNOrganic chemistryNaN
........................
43767How often can resolutions be approved for cont...The text does not specify how often resolution...enNaNNaNNaNNaN
43768Write a function to clear the values of the gi...def clear_tuple(test_tup):\\r\\n temp = list(te...enNaNNaNNaNNaN
43769एक मेसोस्कोपिक तार की चालकता और इसके आयाम, ताप...एक मेसोस्कोपिक तार की चालकता कई कारकों से प्रभ...hiNaNNaNCondensed matter physicsNaN
43770एक परमाणु जिसमें +1 चार्ज होता है, उसके पास है...BhiNaNNaNNaNNaN
43771सभी मान खोजें $x > 4$ जो संतुष्ट करते हैं\\n\\[\\...दी गई समीकरण से,\\n\\[\\sqrt{x + 4 \\sqrt{x - 4}} ...hiIntermediate AlgebraNaNNaNNaN
\n", "

43772 rows × 7 columns

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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df", "summary": "{\n \"name\": \"df\",\n \"rows\": 43772,\n \"fields\": [\n {\n \"column\": \"Input\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 42120,\n \"samples\": [\n \"\\u090f\\u0915 \\u092b\\u093c\\u0902\\u0915\\u094d\\u0936\\u0928 \\u0932\\u093f\\u0916\\u0947\\u0902 \\u091c\\u094b \\u0926\\u093f\\u090f \\u0917\\u090f \\u0938\\u094d\\u091f\\u094d\\u0930\\u093f\\u0902\\u0917 \\u0938\\u0947 \\u0921\\u0941\\u092a\\u094d\\u0932\\u093f\\u0915\\u0947\\u091f \\u0936\\u092c\\u094d\\u0926\\u094b\\u0902 \\u0915\\u094b \\u0939\\u091f\\u093e\\u090f, \\u091c\\u093f\\u0938\\u092e\\u0947\\u0902 \\u0915\\u0932\\u0947\\u0915\\u094d\\u0936\\u0902\\u0938 \\u092e\\u0949\\u0921\\u094d\\u092f\\u0942\\u0932 \\u0915\\u093e \\u0909\\u092a\\u092f\\u094b\\u0917 \\u0915\\u093f\\u092f\\u093e \\u091c\\u093e\\u090f\\u0964 ### CODE ### \",\n \"\\u0906\\u091c, 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\\u0939\\u0941\\u090f \\u092a\\u0939\\u093f\\u092f\\u094b\\u0902 \\u092a\\u0930 \\u092a\\u093e\\u0930\\u094d\\u091f\\u0940 \\u092e\\u0947\\u0902 \\u092a\\u0939\\u0941\\u0902\\u091a\\u0947\\u0917\\u093e\\u0964 \\n\\u092a\\u093e\\u0930\\u094d\\u091f\\u0940 \\u0915\\u0940 \\u0930\\u093e\\u0924 \\u092e\\u0930\\u094d\\u0932\\u093f\\u0928 \\u0935\\u093e\\u092f\\u0932\\u093f\\u0928 \\u092c\\u091c\\u093e\\u0924\\u0947 \\u0939\\u0941\\u090f \\u0915\\u092e\\u0930\\u0947 \\u092e\\u0947\\u0902 \\u0930\\u094b\\u0932 \\u0915\\u0930\\u0924\\u0947 \\u0939\\u0941\\u090f \\u0906\\u092f\\u093e\\u0964 \\u0909\\u0938\\u0947 \\u0926\\u0947\\u0916\\u0915\\u0930 \\u0938\\u092d\\u0940 \\u0939\\u0948\\u0930\\u093e\\u0928 \\u0930\\u0939 \\u0917\\u090f\\u0964 \\u092c\\u0938 \\u090f\\u0915 \\u0938\\u092e\\u0938\\u094d\\u092f\\u093e \\u0925\\u0940\\u0964 \\u092e\\u0930\\u094d\\u0932\\u093f\\u0928 \\u0915\\u0947 \\u092a\\u093e\\u0938 \\u0905\\u092a\\u0928\\u0947 \\u0930\\u094b\\u0932\\u0930 \\u0938\\u094d\\u0915\\u0947\\u091f\\u094d\\u0938 \\u0915\\u094b \\u0930\\u094b\\u0915\\u0928\\u0947 \\u0915\\u093e \\u0915\\u094b\\u0908 \\u0924\\u0930\\u0940\\u0915\\u093e \\u0928\\u0939\\u0940\\u0902 \\u0925\\u093e\\u0964 \\u0935\\u0939 \\u0932\\u0917\\u093e\\u0924\\u093e\\u0930 \\u0930\\u094b\\u0932 \\u0915\\u0930\\u0924\\u093e \\u0930\\u0939\\u093e, \\u0905\\u091a\\u093e\\u0928\\u0915, \\u0935\\u0939 \\u090f\\u0915 \\u0935\\u093f\\u0936\\u093e\\u0932 \\u0926\\u0930\\u094d\\u092a\\u0923 \\u0938\\u0947 \\u091f\\u0915\\u0930\\u093e \\u0917\\u092f\\u093e \\u091c\\u094b \\u0926\\u0940\\u0935\\u093e\\u0930 \\u092a\\u0930 \\u0932\\u091f\\u0915\\u093e \\u0939\\u0941\\u0906 \\u0925\\u093e\\u0964 \\u0926\\u0930\\u094d\\u092a\\u0923 \\u0917\\u093f\\u0930 \\u0917\\u092f\\u093e, \\u091f\\u0941\\u0915\\u0921\\u093c\\u094b\\u0902 \\u092e\\u0947\\u0902 \\u091f\\u0942\\u091f \\u0917\\u092f\\u093e\\u0964 \\u0915\\u093f\\u0938\\u0940 \\u0928\\u0947 \\u092d\\u0940 \\u092e\\u0930\\u094d\\u0932\\u093f\\u0928 \\u0915\\u0947 \\u092a\\u094d\\u0930\\u0935\\u0947\\u0936 \\u0915\\u094b \\u0928\\u0939\\u0940\\u0902 \\u092d\\u0941\\u0932\\u093e\\u092f\\u093e!\\u092e\\u0930\\u094d\\u0932\\u093f\\u0928 \\u0928\\u0947 \\u0924\\u092c \\u0930\\u0941\\u0915\\u0928\\u093e \\u0936\\u0941\\u0930\\u0942 \\u0915\\u093f\\u092f\\u093e \\u091c\\u092c _ . ### A. \\u0935\\u0939 \\u0930\\u0941\\u0915\\u0928\\u093e \\u091a\\u093e\\u0939\\u0924\\u093e \\u0925\\u093e\\u0964 \\nB. \\u0935\\u0939 \\u0916\\u093f\\u0921\\u093c\\u0915\\u0940 \\u0915\\u0940 \\u0913\\u0930 \\u0926\\u094c\\u0921\\u093c\\u093e\\u0964 \\nC. \\u0935\\u0939 \\u0926\\u0930\\u094d\\u092a\\u0923 \\u092e\\u0947\\u0902 \\u0926\\u094c\\u0921\\u093c \\u0917\\u092f\\u093e\\u0964 \\nD. \\u0909\\u0938\\u0928\\u0947 \\u0915\\u093f\\u0938\\u0940 \\u0915\\u094b \\u092a\\u0940\\u091f\\u093e\\u0964 ### MCQ ### \",\n \"PAN \\u0915\\u0947 \\u0932\\u093f\\u090f \\u0906\\u0935\\u0947\\u0926\\u0928 \\u0915\\u0948\\u0938\\u0947 \\u0915\\u0930\\u0947\\u0902? ### \\u0932\\u0902\\u092c\\u093e \\u0909\\u0924\\u094d\\u0924\\u0930 ### \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Output\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 23599,\n \"samples\": [\n \"\\u091c\\u0947\\u0928\\u0947\\u091f\\u093f\\u0915 \\u0909\\u0924\\u094d\\u092a\\u0930\\u093f\\u0935\\u0930\\u094d\\u0924\\u0928 \\u091c\\u093e\\u0928\\u0935\\u0930\\u094b\\u0902 \\u092e\\u0947\\u0902 \\u0938\\u0940\\u0916\\u0928\\u0947 \\u0915\\u0940 \\u0915\\u094d\\u0937\\u092e\\u0924\\u093e \\u0914\\u0930 \\u092c\\u0941\\u0926\\u094d\\u0927\\u093f\\u092e\\u0924\\u094d\\u0924\\u093e \\u092a\\u0930 \\u092e\\u0939\\u0924\\u094d\\u0935\\u092a\\u0942\\u0930\\u094d\\u0923 \\u092a\\u094d\\u0930\\u092d\\u093e\\u0935 \\u0921\\u093e\\u0932 \\u0938\\u0915\\u0924\\u0947 \\u0939\\u0948\\u0902, \\u091c\\u093f\\u0938\\u092e\\u0947\\u0902 \\u091a\\u0942\\u0939\\u094b\\u0902 \\u0914\\u0930 \\u092a\\u094d\\u0930\\u093e\\u0907\\u092e\\u0947\\u091f\\u094d\\u0938 \\u091c\\u0948\\u0938\\u0947 \\u0938\\u094d\\u0924\\u0928\\u0927\\u093e\\u0930\\u0940 \\u0936\\u093e\\u092e\\u093f\\u0932 \\u0939\\u0948\\u0902\\u0964 \\u092f\\u0947 \\u0909\\u0924\\u094d\\u092a\\u0930\\u093f\\u0935\\u0930\\u094d\\u0924\\u0928 \\u0938\\u094d\\u0935\\u093e\\u092d\\u093e\\u0935\\u093f\\u0915 \\u0930\\u0942\\u092a \\u0938\\u0947 \\u0939\\u094b \\u0938\\u0915\\u0924\\u0947 \\u0939\\u0948\\u0902 \\u092f\\u093e \\u092a\\u094d\\u0930\\u092f\\u094b\\u0917\\u093e\\u0924\\u094d\\u092e\\u0915 \\u0930\\u0942\\u092a \\u0938\\u0947 \\u0909\\u0924\\u094d\\u092a\\u0928\\u094d\\u0928 \\u0915\\u093f\\u090f \\u091c\\u093e \\u0938\\u0915\\u0924\\u0947 \\u0939\\u0948\\u0902\\u0964 \\u0938\\u0940\\u0916\\u0928\\u0947 \\u0914\\u0930 \\u092c\\u0941\\u0926\\u094d\\u0927\\u093f\\u092e\\u0924\\u094d\\u0924\\u093e \\u092a\\u0930 \\u091c\\u0947\\u0928\\u0947\\u091f\\u093f\\u0915 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\\u0939\\u094b \\u0938\\u0915\\u0924\\u0947 \\u0939\\u0948\\u0902, \\u091c\\u094b \\u0935\\u093f\\u0936\\u0947\\u0937 \\u0909\\u0924\\u094d\\u092a\\u0930\\u093f\\u0935\\u0930\\u094d\\u0924\\u0928 \\u0914\\u0930 \\u0907\\u0938\\u0915\\u0947 \\u092e\\u0938\\u094d\\u0924\\u093f\\u0937\\u094d\\u0915 \\u0915\\u0947 \\u0935\\u093f\\u0915\\u093e\\u0938 \\u0914\\u0930 \\u0915\\u093e\\u0930\\u094d\\u092f \\u092a\\u0930 \\u092a\\u094d\\u0930\\u092d\\u093e\\u0935 \\u092a\\u0930 \\u0928\\u093f\\u0930\\u094d\\u092d\\u0930 \\u0915\\u0930\\u0924\\u0947 \\u0939\\u0948\\u0902\\u0964 \\u091c\\u093e\\u0928\\u0935\\u0930\\u094b\\u0902 \\u092e\\u0947\\u0902 \\u091c\\u0947\\u0928\\u0947\\u091f\\u093f\\u0915\\u094d\\u0938, \\u092a\\u0930\\u094d\\u092f\\u093e\\u0935\\u0930\\u0923 \\u0914\\u0930 \\u0938\\u0902\\u091c\\u094d\\u091e\\u093e\\u0928\\u093e\\u0924\\u094d\\u092e\\u0915 \\u0915\\u094d\\u0937\\u092e\\u0924\\u093e\\u0913\\u0902 \\u0915\\u0947 \\u092c\\u0940\\u091a \\u091c\\u091f\\u093f\\u0932 \\u0905\\u0902\\u0924\\u0903\\u0915\\u094d\\u0930\\u093f\\u092f\\u093e \\u0915\\u094b \\u092c\\u0947\\u0939\\u0924\\u0930 \\u0922\\u0902\\u0917 \\u0938\\u0947 \\u0938\\u092e\\u091d\\u0928\\u0947 \\u0915\\u0947 \\u0932\\u093f\\u090f \\u0906\\u0917\\u0947 \\u0936\\u094b\\u0927 \\u0915\\u0940 \\u0906\\u0935\\u0936\\u094d\\u092f\\u0915\\u0924\\u093e \\u0939\\u0948\\u0964\",\n \"Revocable transfer is generally a transfer in which the transferor directly or indirectly exercises control/right over the asset transferred or over the income from the asset.\\r\\n\\r\\nAs per section 61\\u200b, if a transfer is held to be a revocable, then income from the asset covered under revocable transfer is taxed in the hands of the transferor. 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