Path |
Digest |
Size |
pureml_llm/TODO |
sha256=vNPTidJD7vLNsENGFwfB7XhQhCaux1E02On2tQNN5Hg
|
278 |
pureml_llm/accuracy/ai_disclaimer_similarity.py |
sha256=PxQi8Nmd8X4B--WWWqUdYdpGp0k4YscjRgaaV1ZviCg
|
3221 |
pureml_llm/accuracy/ban_topics.py |
sha256=lVa38RvRrpK7TXcnYyrJZSgwe_ekUElAH8q4KMsgkFM
|
3176 |
pureml_llm/accuracy/bert_score_f1.py |
sha256=KOHW-xZzlZoh4istEOlUabBKB79lRk8Hm8q72kCN888
|
1613 |
pureml_llm/accuracy/bert_score_precision.py |
sha256=uD4-XXPyW9v1e8KFOMt5JbhDPiDYYgrSFinit8oX0r4
|
3551 |
pureml_llm/accuracy/bert_score_recall.py |
sha256=b8HtaGir9Af2jDmnoxoscVzg6hdGu5laLIohcTbOM4I
|
1575 |
pureml_llm/accuracy/character.py |
sha256=OIZN0_mNuDVoF7Wrn6j2LtpxHnu34ON_UsBTIhtaGWg
|
736 |
pureml_llm/accuracy/charcut_mt.py |
sha256=z6HEJA16i-hwa1dXK1rSTSKDYfB85ErA0mSR6i3JlDg
|
1816 |
pureml_llm/accuracy/chrf.py |
sha256=wB_lbbCMbwt47xS3c4u07NcWUdyxNaRwFC0kBHde1Ec
|
2723 |
pureml_llm/accuracy/f1.py |
sha256=IgPSIO3dhtleI2sOYSaAESNng0A3kH36xlQVt9XtUK0
|
1708 |
pureml_llm/accuracy/flesch_kincaid_grade.py |
sha256=iM2WGjjXV8KF_8VHjqxiLsTU3oPBiJMXny0-qjUsqG8
|
2077 |
pureml_llm/accuracy/flesch_reading_ease.py |
sha256=VWBfjudEQs447jbvlo_qniL5ebd9JDZuCWOdaR5LktU
|
2056 |
pureml_llm/accuracy/fluency.py |
sha256=OM6qCL9MlNx88DtYrFeORpdzn_VCbScxVupFuviIUgw
|
2654 |
pureml_llm/accuracy/gibberish.py |
sha256=AnmA_cWLRBaIvt7ookVl2AOzJsKYbkCmwcNV1H5xzA4
|
2388 |
pureml_llm/accuracy/google_bleu.py |
sha256=KiMrnqOR8q0lMDUoaVAQddwZwaa_OxqM4DEX-2DFvjE
|
1013 |
pureml_llm/accuracy/mauve_score.py |
sha256=RQkLW1WQZanhSwPFnqLlU9vPOpcS0t_DWHMSBDo20po
|
3045 |
pureml_llm/accuracy/meteor.py |
sha256=mPy5HHVEawPRuHPtixWR69als-cTe4fS1GKK4TRm8II
|
911 |
pureml_llm/accuracy/model.py |
sha256=nWkqynm74TzZhTszVZeLIzpeMW6Fg67oSF8eRPZ4xhM
|
936 |
pureml_llm/accuracy/nltk_mt.py |
sha256=9oY188kyyzCLJ6EFxiVd008-cEmkHENOHQVboaUKELs
|
2749 |
pureml_llm/accuracy/progess_bar.py |
sha256=Ew8IEHPzocg5ODgdgZlDkU0STHOnVR12lJHNfIwbepc
|
488 |
pureml_llm/accuracy/quasi_exact_match.py |
sha256=N3iirg2_ZJ5yjUD0tSocM_zt82IAjAqwxU7KL3bGY0Y
|
1640 |
pureml_llm/accuracy/relevance.py |
sha256=gYMpBjkWjYIoSdwhAxUmaokqulZl6Xf8EeYhE41yP58
|
5565 |
pureml_llm/accuracy/rouge_fmeasure.py |
sha256=lyLVpbgXRV1CTdVBG0VDSBKuxb8pudaEi-uERlrlf4I
|
1605 |
pureml_llm/accuracy/rouge_precision.py |
sha256=xHZvruPe0DAlebnpFfyfcUq_wbu2AfnxzhaqqfxhFHw
|
1812 |
pureml_llm/accuracy/rouge_recall.py |
sha256=Cr2Iajyw9P7wcA28JfVls4VXLy5uSHKL6zpD827x0fE
|
1598 |
pureml_llm/accuracy/rr_10.py |
sha256=2DH622NFuFS0lK_x7eaBbQKZ01ptlI8Uqln3H8VBE40
|
1220 |
pureml_llm/accuracy/sentiment.py |
sha256=Pm9Am5Bq5K0x6rfl9iNZ0nzebxnSjA6qU-Zb96lPIjU
|
2281 |
pureml_llm/accuracy/stats.py |
sha256=fIHL6F7hSWeFWHhIrtzI_gc7pIHRYPyF2OfgI7So-ZY
|
1939 |
pureml_llm/accuracy/ter.py |
sha256=tyR-MiryG_jRZS51e96Uad0Wzlwl7cUWlTLAX4HRkMI
|
2434 |
pureml_llm/accuracy/tokenizer_13a.py |
sha256=cqp9V-gwQCuJksKi8zCbHpvoOYPn6CbQezaDYoOHaOA
|
2665 |
pureml_llm/accuracy/transformers_helpers.py |
sha256=Aub_UuzTWsOCbA8yg7c94miv_czghjoPSwTL_JVAwVo
|
3799 |
pureml_llm/accuracy/util.py |
sha256=Z9Z3N37WfQB1ETsZGgdiwSdQSgB5_L3jhFtK-CKohgg
|
2014 |
pureml_llm/accuracy/wer.py |
sha256=INut47RNdFXcDJxLFHmIbOMJ4dEW1xaW5kRpicXIKJ8
|
1122 |
pureml_llm/accuracy_metrics_result.py |
sha256=FM6pYQ4B2CkkDmmn3GBx4n8jIP822cfjcWOKnLOx_co
|
3016 |
pureml_llm/app.py |
sha256=Q1kc5-yp5ZMIW4VjyA2D4Mu4jVuNpsN-QL13N1lAfVM
|
8622 |
pureml_llm/assignments.py |
sha256=H36V5o9IAjofio1NZzpToSLpUsxXOUXXmBJfL4ac_88
|
7146 |
pureml_llm/bias/bias.py |
sha256=I4u0Ko5DRCFSOS6mnJ2-a2iL80o4cxfYu5GMgRYER5U
|
852 |
pureml_llm/bias/neural_bias.py |
sha256=-C2T4xLEYzko5GrdxqJBIhN-hRI_14CHmaoHYEq2PWM
|
491 |
pureml_llm/bias/unbias_models.py |
sha256=gmzqvyKqPohXnzUMtbeewGtlFM3ZVn6yAO8mL4JJkV0
|
522 |
pureml_llm/bias_metric_results.py |
sha256=VBTjoRfUWB3TjTpjsylng6ZvMwdrx-JfHqnKfl_uXic
|
1152 |
pureml_llm/frameworks.py |
sha256=3GFBsBT9i-NTF0Syb5d9qdYSb8JmFC30Y2pCWeTdYYs
|
1225 |
pureml_llm/grade.py |
sha256=UBkj-yE-Smn-58h48CJGDS8z4VpSmQDbiZZif7uv_FQ
|
6044 |
pureml_llm/hallicunation/hallicunation_hugging_face.py |
sha256=7pIB-bLFqsNBNEPb6B3OSaodsndmOxKWgsqOU9WIsxY
|
1741 |
pureml_llm/hallicunation_metrics_result.py |
sha256=jp9lF3tMvCB6vjS8o_f-XKQyngFwolU9xutqX-k_D6A
|
1251 |
pureml_llm/metric_base.py |
sha256=T4ROjy8qMOLkV5mceRAwSNjuu6f7N4UOAgAr04gh6jo
|
415 |
pureml_llm/metrics_import.py |
sha256=vM-pxbUiLfjIShz0WDZ4kOIu-rgj3I6RaIOIfTpQzKk
|
2937 |
pureml_llm/model/base.py |
sha256=kE6r7n89YqokjAnNMlobeK_4vy1qJx62fYQ_NWzq5c4
|
775 |
pureml_llm/model/unbias_model.py |
sha256=OfvT81VOEp6_yxSw2p4-AarELOQ0w_Tm6fn0wrOruvA
|
558 |
pureml_llm/pureml_llm_eval.py |
sha256=F7OItkMhhRWTr-qi6dF3wE26sMfP59SCvjhqvYIhqV8
|
4698 |
pureml_llm/reports.py |
sha256=9ldz2TTceLcyI-9Ik9obckAdL2tcfWzCPRwqXWYwjGY
|
1113 |
pureml_llm/result.json |
sha256=YIGndgTiNxY8Ymc2PUeoJOHt36o3-IruNd0W70-oLYI
|
1800 |
pureml_llm/schema.py |
sha256=8iKdGW7IJPoxF0ca3LStXOoGJTvykTDd1Msf3LYd2hs
|
1096 |
pureml_llm/static/index.html |
sha256=0CvMYDs4BH6g00-Hw55v_I7eyT_ZE-r_OzDabccmhdA
|
879 |
pureml_llm/static/script.js |
sha256=LiOFyTESIn5-2uT64q6Ja3XPzJm-w3QTHaYwBmqLwqw
|
816 |
pureml_llm/static/toxicity.html |
sha256=AjmSwAruMXkKoKxS6LzwqcF-hmPoX7KT_KeXUWm1HZw
|
2239 |
pureml_llm/toxicity/identity_attack.py |
sha256=hbjXVm1NlFt62gD40gSf5F2daIdts8m2b0dyXVwaHzs
|
1244 |
pureml_llm/toxicity/insult.py |
sha256=dz77G0cXB4qzVOaUWQ7v9W0eswk38-EWtPJbFzLi_Rg
|
1208 |
pureml_llm/toxicity/profanity.py |
sha256=JRPFua4_DPrNyIfwy57jUnl5AokxGiStZgG_ozBocig
|
1220 |
pureml_llm/toxicity/severe_toxicity.py |
sha256=_ieG85ARMWPnDqLibE1ZuKUhi24Atho6OCl_rgFyyUs
|
1244 |
pureml_llm/toxicity/toxicity_from_prespective.py |
sha256=09hK64mWXsApD0RZ7wyjkv1rwQT5GKoQyVhkdliqadw
|
6092 |
pureml_llm/toxicity_metrics_result.py |
sha256=aftLxBtLpdvOlmckMIt-pp5nCnf8pBet4RU8kfLrWjA
|
1805 |
pureml_llm-0.1.1.dist-info/METADATA |
sha256=Wz9Fv7lMb3T0jxTxffCM3V0cl5-rJ527XfnbSOqRuaM
|
4685 |
pureml_llm-0.1.1.dist-info/WHEEL |
sha256=Zb28QaM1gQi8f4VCBhsUklF61CTlNYfs9YAZn-TOGFk
|
88 |
pureml_llm-0.1.1.dist-info/entry_points.txt |
sha256=0Ei6woswvoFxsMfmaWXSldj_bSsfW-1O778QZyoGNvc
|
46 |
pureml_llm-0.1.1.dist-info/RECORD |
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