The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 16 new columns ({'url', 'developer', 'label', 'free', 'rating', 'rating_count', 'category', 'description', 'name', 'updated', 'contains_ads', 'in_app_purchases', 'app_id', 'price_usd', 'released', 'installs'}) and 1 missing columns ({'app_index'}).

This happened while the csv dataset builder was generating data using

hf://datasets/henrychen1231/ai-fit-scan/ai_fit_scan_annotated_full.csv (at revision 5fab7c8f5701ce5f82381f15ab6f17851f9198df), [/tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated.csv), /tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated_full.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated_full.csv), /tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_full.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_full.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              app_id: string
              name: string
              developer: string
              url: string
              price_usd: double
              free: bool
              rating: double
              rating_count: double
              installs: int64
              released: string
              updated: double
              category: string
              description: string
              contains_ads: bool
              in_app_purchases: bool
              label: string
              l2_label: string
              ai_function: string
              annotator_a: string
              annotator_b: string
              l2_evidence: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2706
              to
              {'app_index': Value('int64'), 'l2_label': Value('string'), 'ai_function': Value('string'), 'annotator_a': Value('string'), 'annotator_b': Value('string'), 'l2_evidence': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 16 new columns ({'url', 'developer', 'label', 'free', 'rating', 'rating_count', 'category', 'description', 'name', 'updated', 'contains_ads', 'in_app_purchases', 'app_id', 'price_usd', 'released', 'installs'}) and 1 missing columns ({'app_index'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/henrychen1231/ai-fit-scan/ai_fit_scan_annotated_full.csv (at revision 5fab7c8f5701ce5f82381f15ab6f17851f9198df), [/tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated.csv), /tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated_full.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_annotated_full.csv), /tmp/hf-datasets-cache/medium/datasets/86307785661440-config-parquet-and-info-henrychen1231-ai-fit-scan-ae425e36/hub/datasets--henrychen1231--ai-fit-scan/snapshots/5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_full.csv (origin=hf://datasets/henrychen1231/ai-fit-scan@5fab7c8f5701ce5f82381f15ab6f17851f9198df/ai_fit_scan_full.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

app_index
int64
l2_label
string
ai_function
string
annotator_a
string
annotator_b
string
l2_evidence
string
1
T
plan_generation
T
T
Official website confirms AI-powered algorithms + scientifically backed
2
T
plan_generation
Q
T
fitaiapp.com: 7.5M users, AI adaptive plans, 24/7 AI coach, 100M+ training data points
3
T
plan_generation
T
T
Description: combines structured training with AI mechanism
4
T
plan_generation
T
T
Industry veteran, hyper-personalized AI since early days
5
Q
plan_generation
Q
Q
Description primarily disclaimers, no specific AI mechanism described
6
T
nutrition_ai
T
T
40M users, AI diet + fitness, well-established
7
F
plan_generation
Q
F
Domain 6 months old, WHOIS hidden, scam-suspect rating
8
T
plan_generation
T
T
AI Personal Trainer with personalized training
9
T
plan_generation
T
T
Adaptive workout, adjusts to user life
10
F
plan_generation
Q
F
Multiple同名apps on GP; lightweight implementation likely
11
T
plan_generation
Q
T
User viewed app; confirmed AI features
12
T
plan_generation
T
T
Industry benchmark, "uses AI to help you make progress"
13
F
plan_generation
F
F
Traditional tracker, "plan workouts, log training"
14
T
plan_generation
T
T
Science-backed AI personal trainer
15
T
plan_generation
T
T
AI trainer with personalized plans
16
T
plan_generation
T
T
Dual AI: personal trainer + nutritionist
17
F
plan_generation
Q
F
Renpho exercise bike companion; AI is in hardware (auto-resistance)
18
T
plan_generation
T
T
Creates personalized workouts based on goals/history/equipment
19
T
plan_generation
T
T
Explicitly "not generic", AI-Powered
20
T
llm_chat_coach
T
T
AI workout generator + calorie counter + macro tracker + meal planner
21
F
plan_generation
Q
F
User viewed app; "algorithms" ≠ ML, rule-based
22
T
pose_detection
T
T
"Advanced AI and machine learning" explicitly stated
23
F
plan_generation
F
F
Smart tracker = log app, no AI core
24
F
plan_generation
F
F
Claims "AI-Driven" but description is pure workout planner
25
F
plan_generation
F
F
Traditional gym tracker/planner
26
T
plan_generation
T
T
"Keeps adjusting as you go", adaptive
27
Q
llm_chat_coach
Q
Q
"Powered by AI" but description generic
28
T
plan_generation
T
T
"Powered by AI and guided by top experts"
29
T
llm_chat_coach
Q
T
mytrainerapp.io: agentic AI, 24/7 LLM chat coach, adaptive plans
30
T
plan_generation
T
T
Periodized, science-backed, adapts to fatigue
31
T
plan_generation
T
T
Adaptive training plans for endurance athletes
32
F
plan_generation
Q
F
Freediving CO2 tolerance calculator, not ML
33
F
plan_generation
F
F
Pre-set templates, not AI
34
T
plan_generation
T
T
AI-powered endurance training, academic backing
35
F
llm_chat_coach
F
F
AI journal/diary, not fitness AI
36
T
plan_generation
T
T
AI-generated football training plans in 60 seconds
37
F
llm_chat_coach
F
F
AI therapy/coaching, mental health not fitness
38
T
nutrition_ai
T
T
AI-powered workout + nutrition plans
39
T
plan_generation
Q
T
Multi-source: predictive algo since 2019, MediaPipe pose detection, Coach+ LLM chat
40
T
nutrition_ai
T
T
AI weight-loss coach, photo food recognition + voice
41
T
plan_generation
T
T
AI Coach creates plans from 5000+ exercises
42
T
plan_generation
Q
T
User viewed app; running coach with Strava data-driven adaptation
43
T
plan_generation
T
T
Creates fully personalized plans using AI
44
T
plan_generation
T
T
AI running coach with deep analysis
45
T
plan_generation
T
T
Adaptive coach powered by Strava data
46
T
llm_chat_coach
T
T
"Powered by ChatGPT-4 technology" explicitly stated
47
T
plan_generation
T
T
AI-powered personalized plans + auto-adjustment
48
F
plan_generation
Q
F
Dr. Muscle review: AI only does progressive overload, poorly calibrated
49
T
plan_generation
T
T
"Artificial intelligence, training plans"
50
F
plan_generation
F
F
AI tracker but core is ranking/challenges, AI auxiliary
51
T
pose_detection
T
T
Auto rep counting + form analysis via Wear OS (computer vision)
52
Q
plan_generation
Q
Q
Description vague, "AI Fitness Coach" generic
53
F
plan_generation
F
F
Traditional equipment companion, Coach is pre-set
54
F
plan_generation
F
F
"Smart" = basic tracker
55
F
plan_generation
F
F
Simple tracker, no AI
56
F
nutrition_ai
F
F
Calorie counter, AI only for food photo recognition (peripheral)
57
F
plan_generation
F
F
Traditional 7-min workout, zero AI
58
F
plan_generation
F
F
"Smart" = Excel/PDF replacement
59
Q
plan_generation
Q
Q
"Personal trainer alternative", vague AI claim
60
F
plan_generation
F
F
Pure interval timer
61
F
plan_generation
F
F
Simplest interval timer with counting sound
null
T
plan_generation
T
T
Official website confirms AI-powered algorithms + scientifically backed
null
T
plan_generation
Q
T
fitaiapp.com: 7.5M users, AI adaptive plans, 24/7 AI coach, 100M+ training data points
null
T
plan_generation
T
T
Description: combines structured training with AI mechanism
null
T
plan_generation
T
T
Industry veteran, hyper-personalized AI since early days
null
Q
plan_generation
Q
Q
Description primarily disclaimers, no specific AI mechanism described
null
T
nutrition_ai
T
T
40M users, AI diet + fitness, well-established
null
F
plan_generation
Q
F
Domain 6 months old, WHOIS hidden, scam-suspect rating
null
T
plan_generation
T
T
AI Personal Trainer with personalized training
null
T
plan_generation
T
T
Adaptive workout, adjusts to user life
null
F
plan_generation
Q
F
Multiple同名apps on GP; lightweight implementation likely
null
T
plan_generation
Q
T
User viewed app; confirmed AI features
null
T
plan_generation
T
T
Industry benchmark, "uses AI to help you make progress"
null
F
plan_generation
F
F
Traditional tracker, "plan workouts, log training"
null
T
plan_generation
T
T
Science-backed AI personal trainer
null
T
plan_generation
T
T
AI trainer with personalized plans
null
T
plan_generation
T
T
Dual AI: personal trainer + nutritionist
null
F
plan_generation
Q
F
Renpho exercise bike companion; AI is in hardware (auto-resistance)
null
T
plan_generation
T
T
Creates personalized workouts based on goals/history/equipment
null
T
plan_generation
T
T
Explicitly "not generic", AI-Powered
null
T
llm_chat_coach
T
T
AI workout generator + calorie counter + macro tracker + meal planner
null
F
plan_generation
Q
F
User viewed app; "algorithms" ≠ ML, rule-based
null
T
pose_detection
T
T
"Advanced AI and machine learning" explicitly stated
null
F
plan_generation
F
F
Smart tracker = log app, no AI core
null
F
plan_generation
F
F
Claims "AI-Driven" but description is pure workout planner
null
F
plan_generation
F
F
Traditional gym tracker/planner
null
T
plan_generation
T
T
"Keeps adjusting as you go", adaptive
null
Q
llm_chat_coach
Q
Q
"Powered by AI" but description generic
null
T
plan_generation
T
T
"Powered by AI and guided by top experts"
null
T
llm_chat_coach
Q
T
mytrainerapp.io: agentic AI, 24/7 LLM chat coach, adaptive plans
null
T
plan_generation
T
T
Periodized, science-backed, adapts to fatigue
null
T
plan_generation
T
T
Adaptive training plans for endurance athletes
null
F
plan_generation
Q
F
Freediving CO2 tolerance calculator, not ML
null
F
plan_generation
F
F
Pre-set templates, not AI
null
T
plan_generation
T
T
AI-powered endurance training, academic backing
null
F
llm_chat_coach
F
F
AI journal/diary, not fitness AI
null
T
plan_generation
T
T
AI-generated football training plans in 60 seconds
null
F
llm_chat_coach
F
F
AI therapy/coaching, mental health not fitness
null
T
nutrition_ai
T
T
AI-powered workout + nutrition plans
null
T
plan_generation
Q
T
Multi-source: predictive algo since 2019, MediaPipe pose detection, Coach+ LLM chat
End of preview.