Add YAML configs for dataset discoverability

README.md

@@ -1,281 +1,61 @@
 ---
 configs:
-- config_name: 100_news_fake
-  data_files:
-  - split: train
-    path: 100_news_fake/train-00000-of-00001.parquet
-- config_name: 101_disease_class
+- config_name: 2_hist_fig_birthyear
   data_files:
   - split: train
-    path: 101_disease_class/train-*
-- config_name: 102_twt_emotion
+    path: 2_hist_fig_birthyear/train-00000-of-00001.parquet
+- config_name: 3_hist_fig_deathyear
   data_files:
   - split: train
-    path: 102_twt_emotion/train-*
-- config_name: 103_it_tick
+    path: 3_hist_fig_deathyear/train-00000-of-00001.parquet
+- config_name: 4_hist_fig_age
   data_files:
   - split: train
-    path: 103_it_tick/train-*
-- config_name: 105_click_bait
+    path: 4_hist_fig_age/train-00000-of-00001.parquet
+- config_name: 5_hist_fig_ismale
   data_files:
   - split: train
-    path: 105_click_bait/train-*
-- config_name: 106_hate_hate
+    path: 5_hist_fig_ismale/train-00000-of-00001.parquet
+- config_name: 6_hist_fig_isamerican
   data_files:
   - split: train
-    path: 106_hate_hate/train-00000-of-00001.parquet
-- config_name: 107_hate_offensive
+    path: 6_hist_fig_isamerican/train-00000-of-00001.parquet
+- config_name: 7_hist_fig_ispolitician
   data_files:
   - split: train
-    path: 107_hate_offensive/train-00000-of-00001.parquet
-- config_name: 108_athlete_sport
+    path: 7_hist_fig_ispolitician/train-00000-of-00001.parquet
+- config_name: 8_nyc_lat
   data_files:
   - split: train
-    path: 108_athlete_sport/train-*
-- config_name: 109_ball_ws
+    path: 8_nyc_lat/train-00000-of-00001.parquet
+- config_name: 9_nyc_long
   data_files:
   - split: train
-    path: 109_ball_ws/train-00000-of-00001.parquet
+    path: 9_nyc_long/train-00000-of-00001.parquet
 - config_name: 10_nyc_borough
   data_files:
   - split: train
     path: 10_nyc_borough/train-00000-of-00001.parquet
-- config_name: 110_aimade_humangpt3
-  data_files:
-  - split: train
-    path: 110_aimade_humangpt3/train-00000-of-00001.parquet
-- config_name: 111_yelp_data
-  data_files:
-  - split: train
-    path: 111_yelp_data/train-00000-of-00001.parquet
-- config_name: 112_amzn_rev
-  data_files:
-  - split: train
-    path: 112_amzn_rev/train-00000-of-00001.parquet
-- config_name: 113_movie_sent
-  data_files:
-  - split: train
-    path: 113_movie_sent/train-00000-of-00001.parquet
-- config_name: 114_nyc_borough_Manhattan
-  data_files:
-  - split: train
-    path: 114_nyc_borough_Manhattan/train-00000-of-00001.parquet
-- config_name: 115_nyc_borough_Brooklyn
-  data_files:
-  - split: train
-    path: 115_nyc_borough_Brooklyn/train-00000-of-00001.parquet
-- config_name: 116_nyc_borough_Bronx
-  data_files:
-  - split: train
-    path: 116_nyc_borough_Bronx/train-00000-of-00001.parquet
-- config_name: 117_us_state_FL
-  data_files:
-  - split: train
-    path: 117_us_state_FL/train-00000-of-00001.parquet
-- config_name: 118_us_state_CA
-  data_files:
-  - split: train
-    path: 118_us_state_CA/train-00000-of-00001.parquet
-- config_name: 119_us_state_TX
-  data_files:
-  - split: train
-    path: 119_us_state_TX/train-00000-of-00001.parquet
 - config_name: 11_us_lat
   data_files:
   - split: train
     path: 11_us_lat/train-00000-of-00001.parquet
-- config_name: 120_us_timezone_Chicago
-  data_files:
-  - split: train
-    path: 120_us_timezone_Chicago/train-00000-of-00001.parquet
-- config_name: 121_us_timezone_New_York
-  data_files:
-  - split: train
-    path: 121_us_timezone_New_York/train-00000-of-00001.parquet
-- config_name: 122_us_timezone_Los_Angeles
-  data_files:
-  - split: train
-    path: 122_us_timezone_Los_Angeles/train-00000-of-00001.parquet
-- config_name: 123_world_country_United_Kingdom
-  data_files:
-  - split: train
-    path: 123_world_country_United_Kingdom/train-00000-of-00001.parquet
-- config_name: 124_world_country_United_States
-  data_files:
-  - split: train
-    path: 124_world_country_United_States/train-00000-of-00001.parquet
-- config_name: 125_world_country_Italy
-  data_files:
-  - split: train
-    path: 125_world_country_Italy/train-00000-of-00001.parquet
-- config_name: 126_art_type_book
-  data_files:
-  - split: train
-    path: 126_art_type_book/train-00000-of-00001.parquet
-- config_name: 127_art_type_song
-  data_files:
-  - split: train
-    path: 127_art_type_song/train-00000-of-00001.parquet
-- config_name: 128_art_type_movie
-  data_files:
-  - split: train
-    path: 128_art_type_movie/train-00000-of-00001.parquet
-- config_name: 129_arith_mc_A
-  data_files:
-  - split: train
-    path: 129_arith_mc_A/train-00000-of-00001.parquet
 - config_name: 12_us_long
   data_files:
   - split: train
     path: 12_us_long/train-00000-of-00001.parquet
-- config_name: 130_temp_cat_Frequency
-  data_files:
-  - split: train
-    path: 130_temp_cat_Frequency/train-00000-of-00001.parquet
-- config_name: 131_temp_cat_Typical Time
-  data_files:
-  - split: train
-    path: 131_temp_cat_Typical Time/train-00000-of-00001.parquet
-- config_name: 132_temp_cat_Event Ordering
-  data_files:
-  - split: train
-    path: 132_temp_cat_Event Ordering/train-00000-of-00001.parquet
-- config_name: 133_context_type_Causality
-  data_files:
-  - split: train
-    path: 133_context_type_Causality/train-00000-of-00001.parquet
-- config_name: 134_context_type_Belief_states
-  data_files:
-  - split: train
-    path: 134_context_type_Belief_states/train-00000-of-00001.parquet
-- config_name: 135_context_type_Event_duration
-  data_files:
-  - split: train
-    path: 135_context_type_Event_duration/train-00000-of-00001.parquet
-- config_name: 136_glue_mnli_entailment
-  data_files:
-  - split: train
-    path: 136_glue_mnli_entailment/train-00000-of-00001.parquet
-- config_name: 137_glue_mnli_neutral
-  data_files:
-  - split: train
-    path: 137_glue_mnli_neutral/train-00000-of-00001.parquet
-- config_name: 138_glue_mnli_contradiction
-  data_files:
-  - split: train
-    path: 138_glue_mnli_contradiction/train-00000-of-00001.parquet
-- config_name: 139_news_class_Politics
-  data_files:
-  - split: train
-    path: 139_news_class_Politics/train-00000-of-00001.parquet
 - config_name: 13_us_state
   data_files:
   - split: train
     path: 13_us_state/train-00000-of-00001.parquet
-- config_name: 140_news_class_Technology
-  data_files:
-  - split: train
-    path: 140_news_class_Technology/train-00000-of-00001.parquet
-- config_name: 141_news_class_Entertainment
-  data_files:
-  - split: train
-    path: 141_news_class_Entertainment/train-00000-of-00001.parquet
-- config_name: 142_cancer_cat_Thyroid_Cancer
-  data_files:
-  - split: train
-    path: 142_cancer_cat_Thyroid_Cancer/train-00000-of-00001.parquet
-- config_name: 143_cancer_cat_Lung_Cancer
-  data_files:
-  - split: train
-    path: 143_cancer_cat_Lung_Cancer/train-00000-of-00001.parquet
-- config_name: 144_cancer_cat_Colon_Cancer
-  data_files:
-  - split: train
-    path: 144_cancer_cat_Colon_Cancer/train-00000-of-00001.parquet
-- config_name: 145_disease_class_digestive system diseases
-  data_files:
-  - split: train
-    path: 145_disease_class_digestive system diseases/train-00000-of-00001.parquet
-- config_name: 146_disease_class_cardiovascular diseases
-  data_files:
-  - split: train
-    path: 146_disease_class_cardiovascular diseases/train-00000-of-00001.parquet
-- config_name: 147_disease_class_nervous system diseases
-  data_files:
-  - split: train
-    path: 147_disease_class_nervous system diseases/train-00000-of-00001.parquet
-- config_name: 148_twt_emotion_worry
-  data_files:
-  - split: train
-    path: 148_twt_emotion_worry/train-00000-of-00001.parquet
-- config_name: 149_twt_emotion_happiness
-  data_files:
-  - split: train
-    path: 149_twt_emotion_happiness/train-00000-of-00001.parquet
 - config_name: 14_us_timezone
   data_files:
   - split: train
     path: 14_us_timezone/train-00000-of-00001.parquet
-- config_name: 150_twt_emotion_sadness
-  data_files:
-  - split: train
-    path: 150_twt_emotion_sadness/train-00000-of-00001.parquet
-- config_name: 151_it_tick_HR Support
-  data_files:
-  - split: train
-    path: 151_it_tick_HR Support/train-00000-of-00001.parquet
-- config_name: 152_it_tick_Hardware
-  data_files:
-  - split: train
-    path: 152_it_tick_Hardware/train-00000-of-00001.parquet
-- config_name: 153_it_tick_Administrative rights
-  data_files:
-  - split: train
-    path: 153_it_tick_Administrative rights/train-00000-of-00001.parquet
-- config_name: 154_athlete_sport_football
-  data_files:
-  - split: train
-    path: 154_athlete_sport_football/train-00000-of-00001.parquet
-- config_name: 155_athlete_sport_basketball
-  data_files:
-  - split: train
-    path: 155_athlete_sport_basketball/train-00000-of-00001.parquet
-- config_name: 156_athlete_sport_baseball
-  data_files:
-  - split: train
-    path: 156_athlete_sport_baseball/train-00000-of-00001.parquet
-- config_name: 157_amazon_5star
-  data_files:
-  - split: train
-    path: 157_amazon_5star/train-00000-of-00001.parquet
-- config_name: 158_code_C
-  data_files:
-  - split: train
-    path: 158_code_C/train-00000-of-00001.parquet
-- config_name: 159_code_Python
-  data_files:
-  - split: train
-    path: 159_code_Python/train-00000-of-00001.parquet
 - config_name: 15_us_population
   data_files:
   - split: train
     path: 15_us_population/train-00000-of-00001.parquet
-- config_name: 160_code_HTML
-  data_files:
-  - split: train
-    path: 160_code_HTML/train-00000-of-00001.parquet
-- config_name: 161_agnews_0
-  data_files:
-  - split: train
-    path: 161_agnews_0/train-00000-of-00001.parquet
-- config_name: 162_agnews_1
-  data_files:
-  - split: train
-    path: 162_agnews_1/train-00000-of-00001.parquet
-- config_name: 163_agnews_2
-  data_files:
-  - split: train
-    path: 163_agnews_2/train-00000-of-00001.parquet
 - config_name: 16_us_density
   data_files:
   - split: train
@@ -323,7 +103,7 @@ configs:
 - config_name: 27_art_type
   data_files:
   - split: train
-    path: 27_art_type/train-*
+    path: 27_art_type/train-00000-of-00001.parquet
 - config_name: 28_art_year
   data_files:
   - split: train
@@ -332,10 +112,6 @@ configs:
   data_files:
   - split: train
     path: 29_art_pageviews/train-00000-of-00001.parquet
-- config_name: 2_hist_fig_birthyear
-  data_files:
-  - split: train
-    path: 2_hist_fig_birthyear/train-00000-of-00001.parquet
 - config_name: 30_book_length
   data_files:
   - split: train
@@ -347,19 +123,15 @@ configs:
 - config_name: 37_arith_mc
   data_files:
   - split: train
-    path: 37_arith_mc/train-*
+    path: 37_arith_mc/train-00000-of-00001.parquet
 - config_name: 38_arith_difficulty
   data_files:
   - split: train
-    path: 38_arith_difficulty/train-*
+    path: 38_arith_difficulty/train-00000-of-00001.parquet
 - config_name: 39_arith_infix
   data_files:
   - split: train
     path: 39_arith_infix/train-00000-of-00001.parquet
-- config_name: 3_hist_fig_deathyear
-  data_files:
-  - split: train
-    path: 3_hist_fig_deathyear/train-00000-of-00001.parquet
 - config_name: 40_arith_rpn
   data_files:
   - split: train
@@ -367,15 +139,15 @@ configs:
 - config_name: 41_truthqa_tf
   data_files:
   - split: train
-    path: 41_truthqa_tf/train-*
+    path: 41_truthqa_tf/train-00000-of-00001.parquet
 - config_name: 42_temp_sense
   data_files:
   - split: train
-    path: 42_temp_sense/train-*
+    path: 42_temp_sense/train-00000-of-00001.parquet
 - config_name: 43_temp_cat
   data_files:
   - split: train
-    path: 43_temp_cat/train-*
+    path: 43_temp_cat/train-00000-of-00001.parquet
 - config_name: 44_phys_tf
   data_files:
   - split: train
@@ -387,11 +159,11 @@ configs:
 - config_name: 46_context_type
   data_files:
   - split: train
-    path: 46_context_type/train-*
+    path: 46_context_type/train-00000-of-00001.parquet
 - config_name: 47_reasoning_tf
   data_files:
   - split: train
-    path: 47_reasoning_tf/train-*
+    path: 47_reasoning_tf/train-00000-of-00001.parquet
 - config_name: 48_cm_correct
   data_files:
   - split: train
@@ -400,10 +172,6 @@ configs:
   data_files:
   - split: train
     path: 49_cm_isshort/train-00000-of-00001.parquet
-- config_name: 4_hist_fig_age
-  data_files:
-  - split: train
-    path: 4_hist_fig_age/train-00000-of-00001.parquet
 - config_name: 50_deon_isvalid
   data_files:
   - split: train
@@ -419,15 +187,15 @@ configs:
 - config_name: 54_cs_tf
   data_files:
   - split: train
-    path: 54_cs_tf/train-*
+    path: 54_cs_tf/train-00000-of-00001.parquet
 - config_name: 55_open_qa
   data_files:
   - split: train
-    path: 55_open_qa/train-*
+    path: 55_open_qa/train-00000-of-00001.parquet
 - config_name: 56_wikidatasex_or_gender
   data_files:
   - split: train
-    path: 56_wikidatasex_or_gender/train-*
+    path: 56_wikidatasex_or_gender/train-00000-of-00001.parquet
 - config_name: 57_wikidatais_alive
   data_files:
   - split: train
@@ -435,15 +203,11 @@ configs:
 - config_name: 58_wikidatapolitical_party
   data_files:
   - split: train
-    path: 58_wikidatapolitical_party/train-*
+    path: 58_wikidatapolitical_party/train-00000-of-00001.parquet
 - config_name: 59_wikidata_occupation_isjournalist
   data_files:
   - split: train
     path: 59_wikidata_occupation_isjournalist/train-00000-of-00001.parquet
-- config_name: 5_hist_fig_ismale
-  data_files:
-  - split: train
-    path: 5_hist_fig_ismale/train-00000-of-00001.parquet
 - config_name: 60_wikidata_occupation_isathlete
   data_files:
   - split: train
@@ -467,95 +231,87 @@ configs:
 - config_name: 65_high-school
   data_files:
   - split: train
-    path: 65_high-school/train-*
+    path: 65_high-school/train-00000-of-00001.parquet
 - config_name: 66_living-room
   data_files:
   - split: train
-    path: 66_living-room/train-*
+    path: 66_living-room/train-00000-of-00001.parquet
 - config_name: 67_social-security
   data_files:
   - split: train
-    path: 67_social-security/train-*
+    path: 67_social-security/train-00000-of-00001.parquet
 - config_name: 68_credit-card
   data_files:
   - split: train
-    path: 68_credit-card/train-*
+    path: 68_credit-card/train-00000-of-00001.parquet
 - config_name: 69_blood-pressure
   data_files:
   - split: train
-    path: 69_blood-pressure/train-*
-- config_name: 6_hist_fig_isamerican
-  data_files:
-  - split: train
-    path: 6_hist_fig_isamerican/train-00000-of-00001.parquet
+    path: 69_blood-pressure/train-00000-of-00001.parquet
 - config_name: 70_prime-factors
   data_files:
   - split: train
-    path: 70_prime-factors/train-*
+    path: 70_prime-factors/train-00000-of-00001.parquet
 - config_name: 71_social-media
   data_files:
   - split: train
-    path: 71_social-media/train-*
+    path: 71_social-media/train-00000-of-00001.parquet
 - config_name: 72_gene-expression
   data_files:
   - split: train
-    path: 72_gene-expression/train-*
+    path: 72_gene-expression/train-00000-of-00001.parquet
 - config_name: 73_control-group
   data_files:
   - split: train
-    path: 73_control-group/train-*
+    path: 73_control-group/train-00000-of-00001.parquet
 - config_name: 74_magnetic-field
   data_files:
   - split: train
-    path: 74_magnetic-field/train-*
+    path: 74_magnetic-field/train-00000-of-00001.parquet
 - config_name: 75_cell-lines
   data_files:
   - split: train
-    path: 75_cell-lines/train-*
+    path: 75_cell-lines/train-00000-of-00001.parquet
 - config_name: 76_trial-court
   data_files:
   - split: train
-    path: 76_trial-court/train-*
+    path: 76_trial-court/train-00000-of-00001.parquet
 - config_name: 77_second-derivative
   data_files:
   - split: train
-    path: 77_second-derivative/train-*
+    path: 77_second-derivative/train-00000-of-00001.parquet
 - config_name: 78_north-america
   data_files:
   - split: train
-    path: 78_north-america/train-*
+    path: 78_north-america/train-00000-of-00001.parquet
 - config_name: 79_human-rights
   data_files:
   - split: train
-    path: 79_human-rights/train-*
-- config_name: 7_hist_fig_ispolitician
-  data_files:
-  - split: train
-    path: 7_hist_fig_ispolitician/train-00000-of-00001.parquet
+    path: 79_human-rights/train-00000-of-00001.parquet
 - config_name: 80_side-effects
   data_files:
   - split: train
-    path: 80_side-effects/train-*
+    path: 80_side-effects/train-00000-of-00001.parquet
 - config_name: 81_public-health
   data_files:
   - split: train
-    path: 81_public-health/train-*
+    path: 81_public-health/train-00000-of-00001.parquet
 - config_name: 82_federal-government
   data_files:
   - split: train
-    path: 82_federal-government/train-*
+    path: 82_federal-government/train-00000-of-00001.parquet
 - config_name: 83_third-party
   data_files:
   - split: train
-    path: 83_third-party/train-*
+    path: 83_third-party/train-00000-of-00001.parquet
 - config_name: 84_clinical-trials
   data_files:
   - split: train
-    path: 84_clinical-trials/train-*
+    path: 84_clinical-trials/train-00000-of-00001.parquet
 - config_name: 85_mental-health
   data_files:
   - split: train
-    path: 85_mental-health/train-*
+    path: 85_mental-health/train-00000-of-00001.parquet
 - config_name: 86_social_iqa
   data_files:
   - split: train
@@ -567,15 +323,11 @@ configs:
 - config_name: 88_glue_mnli
   data_files:
   - split: train
-    path: 88_glue_mnli/train-*
+    path: 88_glue_mnli/train-00000-of-00001.parquet
 - config_name: 89_glue_mrpc
   data_files:
   - split: train
     path: 89_glue_mrpc/train-00000-of-00001.parquet
-- config_name: 8_nyc_lat
-  data_files:
-  - split: train
-    path: 8_nyc_lat/train-00000-of-00001.parquet
 - config_name: 90_glue_qnli
   data_files:
   - split: train
@@ -607,611 +359,272 @@ configs:
 - config_name: 97_news_class
   data_files:
   - split: train
-    path: 97_news_class/train-*
+    path: 97_news_class/train-00000-of-00001.parquet
 - config_name: 98_cancer_cat
   data_files:
   - split: train
-    path: 98_cancer_cat/train-*
+    path: 98_cancer_cat/train-00000-of-00001.parquet
 - config_name: 99_sci_cat
   data_files:
   - split: train
-    path: 99_sci_cat/train-*
-- config_name: 9_nyc_long
+    path: 99_sci_cat/train-00000-of-00001.parquet
+- config_name: 100_news_fake
   data_files:
   - split: train
-    path: 9_nyc_long/train-00000-of-00001.parquet
-dataset_info:
+    path: 100_news_fake/train-00000-of-00001.parquet
 - config_name: 101_disease_class
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3332482
-    num_examples: 2630
-  download_size: 1600647
-  dataset_size: 3332482
+  data_files:
+  - split: train
+    path: 101_disease_class/train-00000-of-00001.parquet
 - config_name: 102_twt_emotion
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 477320
-    num_examples: 5000
-  download_size: 306299
-  dataset_size: 477320
+  data_files:
+  - split: train
+    path: 102_twt_emotion/train-00000-of-00001.parquet
 - config_name: 103_it_tick
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1460522
-    num_examples: 4998
-  download_size: 639702
-  dataset_size: 1460522
+  data_files:
+  - split: train
+    path: 103_it_tick/train-00000-of-00001.parquet
 - config_name: 105_click_bait
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 234982
-    num_examples: 2568
-  download_size: 92545
-  dataset_size: 234982
+  data_files:
+  - split: train
+    path: 105_click_bait/train-00000-of-00001.parquet
+- config_name: 106_hate_hate
+  data_files:
+  - split: train
+    path: 106_hate_hate/train-00000-of-00001.parquet
+- config_name: 107_hate_offensive
+  data_files:
+  - split: train
+    path: 107_hate_offensive/train-00000-of-00001.parquet
 - config_name: 108_athlete_sport
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 88053
-    num_examples: 2658
-  download_size: 34004
-  dataset_size: 88053
-- config_name: 27_art_type
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 169396
-    num_examples: 4998
-  download_size: 91378
-  dataset_size: 169396
-- config_name: 37_arith_mc
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 168476
-    num_examples: 2988
-  download_size: 73120
-  dataset_size: 168476
-- config_name: 38_arith_difficulty
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 168476
-    num_examples: 2988
-  download_size: 73120
-  dataset_size: 168476
-- config_name: 41_truthqa_tf
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 104486
-    num_examples: 786
-  download_size: 33750
-  dataset_size: 104486
-- config_name: 42_temp_sense
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 393962
-    num_examples: 2224
-  download_size: 133591
-  dataset_size: 393962
-- config_name: 43_temp_cat
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 144434
-    num_examples: 2124
-  download_size: 29729
-  dataset_size: 144434
-- config_name: 46_context_type
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 369474
-    num_examples: 5000
-  download_size: 157620
-  dataset_size: 369474
-- config_name: 47_reasoning_tf
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 402841
-    num_examples: 2696
-  download_size: 179166
-  dataset_size: 402841
-- config_name: 54_cs_tf
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 367052
-    num_examples: 5000
-  download_size: 207604
-  dataset_size: 367052
-- config_name: 55_open_qa
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 696280
-    num_examples: 4584
-  download_size: 384240
-  dataset_size: 696280
-- config_name: 56_wikidatasex_or_gender
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2465609
-    num_examples: 5000
-  download_size: 1615284
-  dataset_size: 2465609
-- config_name: 58_wikidatapolitical_party
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1591123
-    num_examples: 3000
-  download_size: 899150
-  dataset_size: 1591123
-- config_name: 65_high-school
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 411854
-    num_examples: 3200
-  download_size: 236702
-  dataset_size: 411854
-- config_name: 66_living-room
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 387621
-    num_examples: 3118
-  download_size: 215707
-  dataset_size: 387621
-- config_name: 67_social-security
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 438700
-    num_examples: 3200
-  download_size: 237551
-  dataset_size: 438700
-- config_name: 68_credit-card
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 407436
-    num_examples: 3200
-  download_size: 225112
-  dataset_size: 407436
-- config_name: 69_blood-pressure
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 440132
-    num_examples: 3200
-  download_size: 236821
-  dataset_size: 440132
-- config_name: 70_prime-factors
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 339797
-    num_examples: 3200
-  download_size: 171485
-  dataset_size: 339797
-- config_name: 71_social-media
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 422623
-    num_examples: 3200
-  download_size: 235561
-  dataset_size: 422623
-- config_name: 72_gene-expression
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 432742
-    num_examples: 3200
-  download_size: 225637
-  dataset_size: 432742
-- config_name: 73_control-group
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 416942
-    num_examples: 3200
-  download_size: 223839
-  dataset_size: 416942
-- config_name: 74_magnetic-field
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 392232
-    num_examples: 3200
-  download_size: 222791
-  dataset_size: 392232
-- config_name: 75_cell-lines
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 411234
-    num_examples: 3200
-  download_size: 223626
-  dataset_size: 411234
-- config_name: 76_trial-court
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 413706
-    num_examples: 3200
-  download_size: 214924
-  dataset_size: 413706
-- config_name: 77_second-derivative
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 301303
-    num_examples: 3200
-  download_size: 147990
-  dataset_size: 301303
-- config_name: 78_north-america
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 412287
-    num_examples: 3200
-  download_size: 231897
-  dataset_size: 412287
-- config_name: 79_human-rights
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 435687
-    num_examples: 3200
-  download_size: 241366
-  dataset_size: 435687
-- config_name: 80_side-effects
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 438461
-    num_examples: 3200
-  download_size: 237175
-  dataset_size: 438461
-- config_name: 81_public-health
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 439945
-    num_examples: 3200
-  download_size: 239406
-  dataset_size: 439945
-- config_name: 82_federal-government
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 446235
-    num_examples: 3200
-  download_size: 238235
-  dataset_size: 446235
-- config_name: 83_third-party
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 408299
-    num_examples: 3200
-  download_size: 222155
-  dataset_size: 408299
-- config_name: 84_clinical-trials
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 461708
-    num_examples: 3200
-  download_size: 238963
-  dataset_size: 461708
-- config_name: 85_mental-health
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 449763
-    num_examples: 3200
-  download_size: 240426
-  dataset_size: 449763
-- config_name: 88_glue_mnli
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 979154
-    num_examples: 4998
-  download_size: 578389
-  dataset_size: 979154
-- config_name: 97_news_class
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 1286107
-    num_examples: 5000
-  download_size: 832577
-  dataset_size: 1286107
-- config_name: 98_cancer_cat
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 87457273
-    num_examples: 2052
-  download_size: 18836973
-  dataset_size: 87457273
-- config_name: 99_sci_cat
-  features:
-  - name: prompt
-    dtype: string
-  - name: label
-    dtype: int32
-  - name: label_text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 774202
-    num_examples: 3870
-  download_size: 441590
-  dataset_size: 774202
+  data_files:
+  - split: train
+    path: 108_athlete_sport/train-00000-of-00001.parquet
+- config_name: 109_ball_ws
+  data_files:
+  - split: train
+    path: 109_ball_ws/train-00000-of-00001.parquet
+- config_name: 110_aimade_humangpt3
+  data_files:
+  - split: train
+    path: 110_aimade_humangpt3/train-00000-of-00001.parquet
+- config_name: 111_yelp_data
+  data_files:
+  - split: train
+    path: 111_yelp_data/train-00000-of-00001.parquet
+- config_name: 112_amzn_rev
+  data_files:
+  - split: train
+    path: 112_amzn_rev/train-00000-of-00001.parquet
+- config_name: 113_movie_sent
+  data_files:
+  - split: train
+    path: 113_movie_sent/train-00000-of-00001.parquet
+- config_name: 114_nyc_borough_Manhattan
+  data_files:
+  - split: train
+    path: 114_nyc_borough_Manhattan/train-00000-of-00001.parquet
+- config_name: 115_nyc_borough_Brooklyn
+  data_files:
+  - split: train
+    path: 115_nyc_borough_Brooklyn/train-00000-of-00001.parquet
+- config_name: 116_nyc_borough_Bronx
+  data_files:
+  - split: train
+    path: 116_nyc_borough_Bronx/train-00000-of-00001.parquet
+- config_name: 117_us_state_FL
+  data_files:
+  - split: train
+    path: 117_us_state_FL/train-00000-of-00001.parquet
+- config_name: 118_us_state_CA
+  data_files:
+  - split: train
+    path: 118_us_state_CA/train-00000-of-00001.parquet
+- config_name: 119_us_state_TX
+  data_files:
+  - split: train
+    path: 119_us_state_TX/train-00000-of-00001.parquet
+- config_name: 120_us_timezone_Chicago
+  data_files:
+  - split: train
+    path: 120_us_timezone_Chicago/train-00000-of-00001.parquet
+- config_name: 121_us_timezone_New_York
+  data_files:
+  - split: train
+    path: 121_us_timezone_New_York/train-00000-of-00001.parquet
+- config_name: 122_us_timezone_Los_Angeles
+  data_files:
+  - split: train
+    path: 122_us_timezone_Los_Angeles/train-00000-of-00001.parquet
+- config_name: 123_world_country_United_Kingdom
+  data_files:
+  - split: train
+    path: 123_world_country_United_Kingdom/train-00000-of-00001.parquet
+- config_name: 124_world_country_United_States
+  data_files:
+  - split: train
+    path: 124_world_country_United_States/train-00000-of-00001.parquet
+- config_name: 125_world_country_Italy
+  data_files:
+  - split: train
+    path: 125_world_country_Italy/train-00000-of-00001.parquet
+- config_name: 126_art_type_book
+  data_files:
+  - split: train
+    path: 126_art_type_book/train-00000-of-00001.parquet
+- config_name: 127_art_type_song
+  data_files:
+  - split: train
+    path: 127_art_type_song/train-00000-of-00001.parquet
+- config_name: 128_art_type_movie
+  data_files:
+  - split: train
+    path: 128_art_type_movie/train-00000-of-00001.parquet
+- config_name: 129_arith_mc_A
+  data_files:
+  - split: train
+    path: 129_arith_mc_A/train-00000-of-00001.parquet
+- config_name: 130_temp_cat_Frequency
+  data_files:
+  - split: train
+    path: 130_temp_cat_Frequency/train-00000-of-00001.parquet
+- config_name: 131_temp_cat_Typical Time
+  data_files:
+  - split: train
+    path: 131_temp_cat_Typical Time/train-00000-of-00001.parquet
+- config_name: 132_temp_cat_Event Ordering
+  data_files:
+  - split: train
+    path: 132_temp_cat_Event Ordering/train-00000-of-00001.parquet
+- config_name: 133_context_type_Causality
+  data_files:
+  - split: train
+    path: 133_context_type_Causality/train-00000-of-00001.parquet
+- config_name: 134_context_type_Belief_states
+  data_files:
+  - split: train
+    path: 134_context_type_Belief_states/train-00000-of-00001.parquet
+- config_name: 135_context_type_Event_duration
+  data_files:
+  - split: train
+    path: 135_context_type_Event_duration/train-00000-of-00001.parquet
+- config_name: 136_glue_mnli_entailment
+  data_files:
+  - split: train
+    path: 136_glue_mnli_entailment/train-00000-of-00001.parquet
+- config_name: 137_glue_mnli_neutral
+  data_files:
+  - split: train
+    path: 137_glue_mnli_neutral/train-00000-of-00001.parquet
+- config_name: 138_glue_mnli_contradiction
+  data_files:
+  - split: train
+    path: 138_glue_mnli_contradiction/train-00000-of-00001.parquet
+- config_name: 139_news_class_Politics
+  data_files:
+  - split: train
+    path: 139_news_class_Politics/train-00000-of-00001.parquet
+- config_name: 140_news_class_Technology
+  data_files:
+  - split: train
+    path: 140_news_class_Technology/train-00000-of-00001.parquet
+- config_name: 141_news_class_Entertainment
+  data_files:
+  - split: train
+    path: 141_news_class_Entertainment/train-00000-of-00001.parquet
+- config_name: 142_cancer_cat_Thyroid_Cancer
+  data_files:
+  - split: train
+    path: 142_cancer_cat_Thyroid_Cancer/train-00000-of-00001.parquet
+- config_name: 143_cancer_cat_Lung_Cancer
+  data_files:
+  - split: train
+    path: 143_cancer_cat_Lung_Cancer/train-00000-of-00001.parquet
+- config_name: 144_cancer_cat_Colon_Cancer
+  data_files:
+  - split: train
+    path: 144_cancer_cat_Colon_Cancer/train-00000-of-00001.parquet
+- config_name: 145_disease_class_digestive system diseases
+  data_files:
+  - split: train
+    path: 145_disease_class_digestive system diseases/train-00000-of-00001.parquet
+- config_name: 146_disease_class_cardiovascular diseases
+  data_files:
+  - split: train
+    path: 146_disease_class_cardiovascular diseases/train-00000-of-00001.parquet
+- config_name: 147_disease_class_nervous system diseases
+  data_files:
+  - split: train
+    path: 147_disease_class_nervous system diseases/train-00000-of-00001.parquet
+- config_name: 148_twt_emotion_worry
+  data_files:
+  - split: train
+    path: 148_twt_emotion_worry/train-00000-of-00001.parquet
+- config_name: 149_twt_emotion_happiness
+  data_files:
+  - split: train
+    path: 149_twt_emotion_happiness/train-00000-of-00001.parquet
+- config_name: 150_twt_emotion_sadness
+  data_files:
+  - split: train
+    path: 150_twt_emotion_sadness/train-00000-of-00001.parquet
+- config_name: 151_it_tick_HR Support
+  data_files:
+  - split: train
+    path: 151_it_tick_HR Support/train-00000-of-00001.parquet
+- config_name: 152_it_tick_Hardware
+  data_files:
+  - split: train
+    path: 152_it_tick_Hardware/train-00000-of-00001.parquet
+- config_name: 153_it_tick_Administrative rights
+  data_files:
+  - split: train
+    path: 153_it_tick_Administrative rights/train-00000-of-00001.parquet
+- config_name: 154_athlete_sport_football
+  data_files:
+  - split: train
+    path: 154_athlete_sport_football/train-00000-of-00001.parquet
+- config_name: 155_athlete_sport_basketball
+  data_files:
+  - split: train
+    path: 155_athlete_sport_basketball/train-00000-of-00001.parquet
+- config_name: 156_athlete_sport_baseball
+  data_files:
+  - split: train
+    path: 156_athlete_sport_baseball/train-00000-of-00001.parquet
+- config_name: 157_amazon_5star
+  data_files:
+  - split: train
+    path: 157_amazon_5star/train-00000-of-00001.parquet
+- config_name: 158_code_C
+  data_files:
+  - split: train
+    path: 158_code_C/train-00000-of-00001.parquet
+- config_name: 159_code_Python
+  data_files:
+  - split: train
+    path: 159_code_Python/train-00000-of-00001.parquet
+- config_name: 160_code_HTML
+  data_files:
+  - split: train
+    path: 160_code_HTML/train-00000-of-00001.parquet
+- config_name: 161_agnews_0
+  data_files:
+  - split: train
+    path: 161_agnews_0/train-00000-of-00001.parquet
+- config_name: 162_agnews_1
+  data_files:
+  - split: train
+    path: 162_agnews_1/train-00000-of-00001.parquet
+- config_name: 163_agnews_2
+  data_files:
+  - split: train
+    path: 163_agnews_2/train-00000-of-00001.parquet
 ---
 
 # Sparse Probing Datasets
 
-**113 binary classification tasks** for probing language model representations.
+**155 binary classification tasks** for probing language model representations.
 
 From: "Are Sparse Autoencoders Useful? A Case Study in Sparse Probing" ([arXiv:2502.16681](https://arxiv.org/abs/2502.16681))
 
@@ -1235,13 +648,13 @@ print(f"Available: {len(configs)} datasets")
 
 | Category | Count | Description |
 |----------|-------|-------------|
-| knowledge | 50 | Historical figures, geography, wikidata |
-| reasoning | 18 | Science, ethics, commonsense, temporal |
-| science | 6 | Domain concepts, medical, biology |
-| moderation | 13 | Toxicity, spam, fake news, hate speech |
-| glue | 9 | GLUE benchmark tasks |
-| sentiment | 7 | Emotion, reviews |
-| other | 7 | IT tickets, sports |
+| knowledge | 53 | Historical figures, geography, wikidata |
+| reasoning | 27 | Science, ethics, commonsense, temporal |
+| science | 30 | Domain concepts, medical, biology |
+| moderation | 15 | Toxicity, spam, fake news, hate speech |
+| glue | 10 | GLUE benchmark tasks |
+| sentiment | 8 | Emotion, reviews |
+| other | 9 | IT tickets, sports |
 | code | 3 | Programming language detection |
 
 ## Available Datasets
@@ -1275,10 +688,13 @@ print(f"Available: {len(configs)} datasets")
 | `24_headline_isiran` | Headlines mentioning Iran |
 | `25_headline_year` | Headline year classification |
 | `26_headline_isfrontpage` | Front page headline classification |
+| `27_art_type` | Art type classification (book/song/movie) |
 | `28_art_year` | Art year classification |
 | `29_art_pageviews` | Art pageviews classification |
 | `30_book_length` | Book length classification |
+| `56_wikidatasex_or_gender` | Wikidata gender classification |
 | `57_wikidatais_alive` | Wikidata alive status |
+| `58_wikidatapolitical_party` | Wikidata political party |
 | `59_wikidata_occupation_isjournalist` | Wikidata journalist occupation |
 | `60_wikidata_occupation_isathlete` | Wikidata athlete occupation |
 | `61_wikidata_occupation_isactor` | Wikidata actor occupation |
@@ -1306,15 +722,24 @@ print(f"Available: {len(configs)} datasets")
 | Config Name | Description |
 |-------------|-------------|
 | `36_sciq_tf` | Science questions true/false |
+| `37_arith_mc` | Arithmetic multiple choice |
+| `38_arith_difficulty` | Arithmetic difficulty classification |
 | `39_arith_infix` | Arithmetic infix notation |
 | `40_arith_rpn` | Arithmetic reverse polish notation |
+| `41_truthqa_tf` | TruthfulQA true/false |
+| `42_temp_sense` | Temporal sense classification |
+| `43_temp_cat` | Temporal category classification |
 | `44_phys_tf` | Physical reasoning true/false |
 | `45_context_ans` | Contextual answer classification |
+| `46_context_type` | Context type classification |
+| `47_reasoning_tf` | Commonsense reasoning true/false |
 | `48_cm_correct` | Common morality correctness |
 | `49_cm_isshort` | Common morality statement brevity |
 | `50_deon_isvalid` | Deontological validity classification |
 | `51_just_is` | Justice classification |
 | `52_virtue_is` | Virtue ethics classification |
+| `54_cs_tf` | Commonsense true/false |
+| `55_open_qa` | Open-domain QA classification |
 | `86_social_iqa` | Social intelligence QA |
 | `129_arith_mc_A` | Arithmetic multiple choice A |
 | `130_temp_cat_Frequency` | Temporal category frequency |
@@ -1328,6 +753,30 @@ print(f"Available: {len(configs)} datasets")
 
 | Config Name | Description |
 |-------------|-------------|
+| `65_high-school` | High school concept recognition |
+| `66_living-room` | Living room concept recognition |
+| `67_social-security` | Social security concept recognition |
+| `68_credit-card` | Credit card concept recognition |
+| `69_blood-pressure` | Blood pressure concept recognition |
+| `70_prime-factors` | Prime factors concept recognition |
+| `71_social-media` | Social media concept recognition |
+| `72_gene-expression` | Gene expression concept recognition |
+| `73_control-group` | Control group concept recognition |
+| `74_magnetic-field` | Magnetic field concept recognition |
+| `75_cell-lines` | Cell lines concept recognition |
+| `76_trial-court` | Trial court concept recognition |
+| `77_second-derivative` | Second derivative concept recognition |
+| `78_north-america` | North America concept recognition |
+| `79_human-rights` | Human rights concept recognition |
+| `80_side-effects` | Side effects concept recognition |
+| `81_public-health` | Public health concept recognition |
+| `82_federal-government` | Federal government concept recognition |
+| `83_third-party` | Third party concept recognition |
+| `84_clinical-trials` | Clinical trials concept recognition |
+| `85_mental-health` | Mental health concept recognition |
+| `98_cancer_cat` | Cancer category classification |
+| `99_sci_cat` | Science category classification |
+| `101_disease_class` | Disease classification |
 | `142_cancer_cat_Thyroid_Cancer` | Thyroid cancer classification |
 | `143_cancer_cat_Lung_Cancer` | Lung cancer classification |
 | `144_cancer_cat_Colon_Cancer` | Colon cancer classification |
@@ -1342,7 +791,9 @@ print(f"Available: {len(configs)} datasets")
 | `94_ai_gen` | AI-generated text detection |
 | `95_toxic_is` | Toxicity detection |
 | `96_spam_is` | Spam detection |
+| `97_news_class` | News category classification |
 | `100_news_fake` | Fake news detection |
+| `105_click_bait` | Clickbait detection |
 | `106_hate_hate` | Hate speech detection |
 | `107_hate_offensive` | Offensive language detection |
 | `110_aimade_humangpt3` | Human vs GPT-3 text detection |
@@ -1358,6 +809,7 @@ print(f"Available: {len(configs)} datasets")
 | Config Name | Description |
 |-------------|-------------|
 | `87_glue_cola` | GLUE CoLA linguistic acceptability |
+| `88_glue_mnli` | GLUE MNLI natural language inference |
 | `89_glue_mrpc` | GLUE MRPC paraphrase detection |
 | `90_glue_qnli` | GLUE QNLI question answering NLI |
 | `91_glue_qqp` | GLUE QQP Quora question pairs |
@@ -1371,6 +823,7 @@ print(f"Available: {len(configs)} datasets")
 
 | Config Name | Description |
 |-------------|-------------|
+| `102_twt_emotion` | Tweet emotion classification |
 | `111_yelp_data` | Yelp review sentiment |
 | `112_amzn_rev` | Amazon review sentiment |
 | `113_movie_sent` | Movie review sentiment |
@@ -1383,6 +836,8 @@ print(f"Available: {len(configs)} datasets")
 
 | Config Name | Description |
 |-------------|-------------|
+| `103_it_tick` | IT ticket classification |
+| `108_athlete_sport` | Athlete sport classification |
 | `109_ball_ws` | Basketball win shares classification |
 | `151_it_tick_HR Support` | IT ticket HR support |
 | `152_it_tick_Hardware` | IT ticket hardware |