folktexts/__init__.py,sha256=v4aQkTRYn6BVagbtSVwJm_HZ5-hwX-rlc3BKzTG-kAM,264
folktexts/_io.py,sha256=SWQx6QIsX1ethZ5tH6Ei4QvK_hcETUXb9c8serSY19c,1453
folktexts/_utils.py,sha256=KvU8R-eHP92slztqDuKFNARJTvVue_OCK2OHVksSGfM,3108
folktexts/_version.py,sha256=U7QlOl0GJ1jVxEwhYvdR6uY-pZjUGsS3LGaugyHbvx8,169
folktexts/benchmark.py,sha256=Mis23SD3JZAMhmH6U17KEEC8ICav7KyEeR8TkVpLfUc,21492
folktexts/col_to_text.py,sha256=qkPpQwXYyhdy_5vD7kWiH1L0DdjgrTictXAFcwivva8,5800
folktexts/dataset.py,sha256=Teozu7TGNKeAbUfafVW9k_T3j37pOcCW4MkVKXxoe1g,11982
folktexts/evaluation.py,sha256=pSKaw_hBDtbrVV-SRYYpRGcD-M3gltWZdmIsZcc7LNs,14907
folktexts/llm_utils.py,sha256=e8rr0qDTsz2mvGHKDUJpb9g4vpKo-UqbAL84peqXaSI,8171
folktexts/plotting.py,sha256=tiKz5ylwgxOdJU2LP3Crz0Ew0wB8_wgYwVqbQ5WU1eM,8805
folktexts/prompting.py,sha256=4Dnaa5vEvf15r0lGBNGW4ta-QdTe3y6Dci_JPiCNMFA,5283
folktexts/qa_interface.py,sha256=JADG8Ke77xdp2xqWJ0KRgsvX2H9lScU8vHZCFx1r-JI,14715
folktexts/task.py,sha256=4VnC0ulRS0jZM50MIQaH-XbcmewUDRMMZWOnFBpTY38,9196
folktexts/threshold.py,sha256=RJp4hcFIOZVFPDkxVtKe_pDbnbGi9UBwloL_ddJbATI,1610
folktexts/acs/__init__.py,sha256=lgflvM0Pe_kuRyma9vXPszTJP9Wu7VB2AC7Uyv8X7-Q,91
folktexts/acs/_utils.py,sha256=zdcd4OyBX1hrX7SbM6Rg1EmMmR9n5SkYZpLwyu5te_Q,1168
folktexts/acs/acs_columns.py,sha256=2jW8_m4qbFzS0AWcBBuC-302qVRLiFqDNIvwb_31uuQ,21702
folktexts/acs/acs_dataset.py,sha256=TiqG85ji2l6ZuzKMXr-JhwAMXHcFwKrxhAV7dj1YdwI,5426
folktexts/acs/acs_questions.py,sha256=eMmp98OIGv3-3SMSmNp6wFnYWR_TwhR0O3qls9UqvnA,1281
folktexts/acs/acs_tasks.py,sha256=y3c_uWoOqjrJNjAYBHZwnTFoQoPi7VE7Y7QtDIzzkXs,5678
folktexts/acs/acs_thresholds.py,sha256=S9flfn7gjNJnP7SkHbnUFC7Z-vzr2tUqJpiMi7wB9cQ,598
folktexts/acs/data/ANC1P.txt,sha256=S7amrbKg7r8cJtWQR4fee8yUhyGWcZiG7y_aKfGGTk0,3767
folktexts/acs/data/HISP.txt,sha256=fWAXWQgmjrNi6uFoFb0e6_KD7liSpM0eyfAU0vIzNnY,404
folktexts/acs/data/LANP.txt,sha256=_QHy7ktRtQ5GcDuYZ2bmCuFvyzmm2D9KmLuGgKe9x_M,2326
folktexts/acs/data/OCCP.txt,sha256=ww2cscYcgtMy056UxcErdS0gcCy24Xc0uTRCzId4pK8,24263
folktexts/acs/data/POBP.txt,sha256=slLk4-q_POsE6_xO0ZHY7danCTa0n_6XUAl3Rpcy7jU,3847
folktexts/acs/data/ST.txt,sha256=YH2sGV60BmfpRqkbex71IkKcE2HFZuADykGRqGMWnHs,868
folktexts/classifier/__init__.py,sha256=WUGzVwD8VpiU8oOEcthg01c7BA-jnRwgg0eX_ZObsZM,189
folktexts/classifier/base.py,sha256=bm9ddfQgKHTosQtrd2mTzIVWx4aXVyy8XLtErY8chlk,14770
folktexts/classifier/transformers_classifier.py,sha256=HNQUDzHJSfsCcXsyySQFKFS4Ewp8P6FOEQCdzG9WQAA,5140
folktexts/classifier/web_api_classifier.py,sha256=FlZqfOc-kCjtviJfUjP0YKhx7k9oZ_X5bqOrW3EX__Y,12761
folktexts/cli/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
folktexts/cli/_utils.py,sha256=hd3yFskh00njlYjUa7IvjaidNaQSBkv6E4eeVngMv28,1603
folktexts/cli/download_models.py,sha256=c2eYjA46-QQjLnWmp_6jU4lSYNsBGfcMNIP4AkXMiOY,3634
folktexts/cli/eval_feature_importance.py,sha256=CLjWj75KN-3x3nuMGPvxW_2veRCYYcuBjZF9ArXRf7s,6903
folktexts/cli/experiments.py,sha256=cEAvk7wfivDXXQqhEljUHe8VcIqufqFWaQWwaMDc4ew,4023
folktexts/cli/launch_experiments_htcondor.py,sha256=4G4m6bJqV-1K1R7PQuoJOLu01XoU7U1jzMUU6zJnjbA,7374
folktexts/cli/rerun_experiment.py,sha256=WVPo0oEe5nbFzl-TKaQ_tBvrIz2fspyiz0EvCAqHOQ8,1138
folktexts/cli/run_acs_benchmark.py,sha256=tIeaxDocG29o_uXNRXLljvYS8TfT_DLjDlgS84rRc1Q,6689
folktexts-0.0.26.dist-info/LICENSE,sha256=09AldRBZg7ouXAuQJN5v9uZCCZEe5b51D7O2E7Rcsts,1101
folktexts-0.0.26.dist-info/METADATA,sha256=lkOQIpu-MoEpzrwLw0xOAmrdpj-h8Z1ahCXnqjIhGpQ,16183
folktexts-0.0.26.dist-info/WHEEL,sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U,91
folktexts-0.0.26.dist-info/entry_points.txt,sha256=Ed_wSHPfaOdBjvac2NgDA0XF5bbYVJS8-Y3ogOmHZDA,128
folktexts-0.0.26.dist-info/top_level.txt,sha256=pFFGqTzYpFYqQQjdkN_9H1_Jpl8QrrOqWUh2P5DoY90,10
folktexts-0.0.26.dist-info/RECORD,,
