Commit ·
2d948f1
1
Parent(s): bf446c2
Add emotion data files
Browse files- README.md +13 -5
- dataset_infos.json +11 -44
- emotion/test-00000-of-00001.parquet +3 -0
- emotion/train-00000-of-00001.parquet +3 -0
- emotion/validation-00000-of-00001.parquet +3 -0
README.md
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@@ -91,16 +91,16 @@ dataset_info:
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'3': sadness
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splits:
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- name: train
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-
num_bytes:
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num_examples: 3257
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- name: test
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-
num_bytes:
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num_examples: 1421
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- name: validation
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-
num_bytes:
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num_examples: 374
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-
download_size:
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dataset_size:
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- config_name: hate
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features:
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- name: text
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@@ -314,6 +314,14 @@ configs:
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path: emoji/test-*
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- split: validation
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path: emoji/validation-*
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train-eval-index:
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- config: emotion
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task: text-classification
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'3': sadness
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splits:
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- name: train
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+
num_bytes: 338871
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num_examples: 3257
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- name: test
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+
num_bytes: 146645
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num_examples: 1421
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- name: validation
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+
num_bytes: 38273
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num_examples: 374
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+
download_size: 367016
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dataset_size: 523789
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- config_name: hate
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features:
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- name: text
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path: emoji/test-*
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- split: validation
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path: emoji/validation-*
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- config_name: emotion
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data_files:
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- split: train
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path: emotion/train-*
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- split: test
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path: emotion/test-*
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- split: validation
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path: emotion/validation-*
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train-eval-index:
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- config: emotion
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task: text-classification
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dataset_infos.json
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@@ -76,29 +76,23 @@
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"features": {
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"text": {
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"dtype": "string",
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-
"id": null,
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"_type": "Value"
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},
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"label": {
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-
"num_classes": 4,
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"names": [
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"anger",
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"joy",
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"optimism",
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"sadness"
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],
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"names_file": null,
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"id": null,
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"_type": "ClassLabel"
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}
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},
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"
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"
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"builder_name": " tweet_eval",
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"config_name": "emotion",
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"version": {
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"version_str": "1.1.0",
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"description": null,
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"major": 1,
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"minor": 1,
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"patch": 0
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@@ -106,53 +100,26 @@
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"splits": {
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"train": {
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"name": "train",
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"num_bytes":
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"num_examples": 3257,
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"dataset_name":
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},
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"test": {
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"name": "test",
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-
"num_bytes":
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"num_examples": 1421,
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-
"dataset_name":
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},
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"validation": {
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"name": "validation",
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-
"num_bytes":
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"num_examples": 374,
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"dataset_name":
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}
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},
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"download_checksums": {
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_text.txt": {
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"num_bytes": 306630,
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"checksum": "2c62f67aeb3eac1aea0e5a9c3d0f4bc337992581f3f858061786a1fb4d79d95e"
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},
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_labels.txt": {
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"num_bytes": 6514,
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"checksum": "987e767d8679e18abdf7de37a6d2bcd0a40a296ddd704e8d515cf0e3033c8d9c"
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},
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_text.txt": {
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"num_bytes": 132523,
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"checksum": "7e1070f5d3e3fcece5bc73680bff9981e90d8f7b2f1009bfe7a01d059d1c6091"
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},
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_labels.txt": {
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"num_bytes": 2842,
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"checksum": "245072348c711961785be6d395997f97cf7fcda3effeae7805664171dc75f913"
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},
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_text.txt": {
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"num_bytes": 34556,
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"checksum": "e2e30c86b8cbb97944d6543aedc06eace3bb275cb2f381aba787b838b4f23ca5"
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},
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"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_labels.txt": {
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"num_bytes": 748,
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-
"checksum": "313730630160b7e0a6b4235b800c76683f4aeeb72d094eb69646630cd5cfe338"
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}
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},
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-
"download_size":
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"
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"
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"size_in_bytes": 1007614
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},
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"hate": {
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"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n",
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"features": {
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"label": {
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"names": [
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"anger",
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"joy",
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"optimism",
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"sadness"
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],
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"_type": "ClassLabel"
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}
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},
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"builder_name": "tweet_eval",
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"dataset_name": "tweet_eval",
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"config_name": "emotion",
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"version": {
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"version_str": "1.1.0",
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"major": 1,
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"minor": 1,
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"patch": 0
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 338871,
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"num_examples": 3257,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 146645,
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"num_examples": 1421,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 38273,
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"num_examples": 374,
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"dataset_name": null
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}
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},
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"download_size": 367016,
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+
"dataset_size": 523789,
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"size_in_bytes": 890805
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},
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"hate": {
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"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n",
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emotion/test-00000-of-00001.parquet
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:460be5e853577cad9e070549a3bb0eaecccfa277e07db69873fc8f46bd57299f
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size 105421
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emotion/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:448fb3d7b94184ca25652d7361d82bbc50c20cd0d10a984ce3596a1aa7e1d75c
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size 233004
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emotion/validation-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:20e78c12dc5a17c2011a708cc838b8b0251b87f624f71dbdd354a2e3857aab73
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size 28591
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